You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
1 line
75 KiB
1 line
75 KiB
Search.setIndex({"docnames": ["api/collectors", "api/components", "api/helpers", "api/problems", "api/solvers", "guide/collectors", "guide/features", "guide/primal", "guide/problems", "guide/solvers", "index", "tutorials/cuts-gurobipy", "tutorials/getting-started-gurobipy", "tutorials/getting-started-jump", "tutorials/getting-started-pyomo"], "filenames": ["api/collectors.rst", "api/components.rst", "api/helpers.rst", "api/problems.rst", "api/solvers.rst", "guide/collectors.ipynb", "guide/features.ipynb", "guide/primal.ipynb", "guide/problems.ipynb", "guide/solvers.ipynb", "index.rst", "tutorials/cuts-gurobipy.ipynb", "tutorials/getting-started-gurobipy.ipynb", "tutorials/getting-started-jump.ipynb", "tutorials/getting-started-pyomo.ipynb"], "titles": ["<span class=\"section-number\">11. </span>Collectors & Extractors", "<span class=\"section-number\">12. </span>Components", "<span class=\"section-number\">14. </span>Helpers", "<span class=\"section-number\">10. </span>Benchmark Problems", "<span class=\"section-number\">13. </span>Solvers", "<span class=\"section-number\">6. </span>Training Data Collectors", "<span class=\"section-number\">7. </span>Feature Extractors", "<span class=\"section-number\">8. </span>Primal Components", "<span class=\"section-number\">5. </span>Benchmark Problems", "<span class=\"section-number\">9. </span>Learning Solver", "MIPLearn", "<span class=\"section-number\">4. </span>User cuts and lazy constraints", "<span class=\"section-number\">2. </span>Getting started (Gurobipy)", "<span class=\"section-number\">3. </span>Getting started (JuMP)", "<span class=\"section-number\">1. </span>Getting started (Pyomo)"], "terms": {"class": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "minprobabilityclassifi": [0, 7, 9], "base_clf": [0, 1, 7, 9], "type": [0, 1, 4, 5, 6, 8, 9, 11, 12, 13, 14], "ani": [0, 1, 2, 4, 5, 7, 8, 12, 13, 14], "threshold": [0, 1, 7, 9], "list": [0, 1, 2, 3, 4, 5, 7, 8, 9, 11, 12, 14], "float": [0, 1, 4, 5, 12, 14], "clone_fn": [0, 1, 7], "callabl": [0, 1, 4], "function": [0, 1, 5, 6, 7, 8, 11, 12, 13, 14], "clone": [0, 1, 7], "base": [0, 1, 2, 4, 6, 7, 10, 12, 13, 14], "baseestim": 0, "meta": [0, 7], "return": [0, 1, 6, 7, 8, 9, 11, 12, 13, 14], "nan": 0, "predict": [0, 1, 7, 11, 12, 13, 14], "made": [0, 7], "have": [0, 3, 5, 6, 8, 11, 12, 13, 14], "probabl": [0, 3, 7, 8, 12, 13, 14], "below": [0, 1, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "given": [0, 4, 5, 6, 7, 8, 11, 12, 13, 14], "more": [0, 3, 5, 6, 7, 8, 11, 12, 13, 14], "specif": [0, 3, 5, 6, 7, 8, 10, 12, 13, 14], "thi": [0, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "call": [0, 8, 9, 11, 13], "predict_proba": [0, 7], "compar": [0, 5, 7, 11], "result": [0, 3, 8], "against": 0, "provid": [0, 1, 3, 5, 7, 8, 9, 10, 11, 12, 13, 14], "If": [0, 3, 7, 8, 10, 11, 12, 13, 14], "one": [0, 1, 3, 7, 8, 11, 12, 13, 14], "i": [0, 1, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "abov": [0, 1, 3, 5, 7, 8, 11, 12, 13, 14], "its": [0, 3, 5, 6, 7, 8, 9, 11, 12, 13, 14], "otherwis": [0, 1, 5, 6, 7], "fit": [0, 1, 4, 7, 9, 11, 12, 13, 14], "x": [0, 3, 5, 7, 8, 9, 11, 12, 13, 14], "ndarrai": [0, 1, 2, 3, 4, 11], "y": [0, 3, 5, 7, 8, 9, 11, 12, 13, 14], "none": [0, 1, 2, 4, 11], "set_fit_request": 0, "bool": [0, 2, 3, 4], "str": [0, 1, 2, 3, 4, 5, 11, 12, 14], "unchang": 0, "request": [0, 10, 12, 13, 14], "metadata": [0, 5], "pass": 0, "method": [0, 3, 5, 6, 7, 8, 9, 10, 12, 13, 14], "note": [0, 3, 6, 7, 8, 11, 12, 13, 14], "onli": [0, 3, 6, 7, 8, 9, 10, 11, 12, 13, 14], "relev": [0, 6], "enable_metadata_rout": 0, "true": [0, 3, 5, 6, 8, 9, 10, 11], "see": [0, 7, 8, 11, 12, 13, 14], "sklearn": [0, 7, 9, 11, 12, 13, 14], "set_config": 0, "pleas": [0, 8, 12, 13, 14], "user": [0, 3, 6, 7, 8, 9, 12, 13, 14], "guid": [0, 12, 13, 14], "how": [0, 5, 7, 8, 11, 12, 13, 14], "rout": [0, 8, 11], "mechan": 0, "work": [0, 8, 9, 10, 11, 12, 13, 14], "The": [0, 3, 5, 6, 7, 8, 9, 11, 12, 13, 14], "option": [0, 1], "each": [0, 1, 3, 6, 7, 8, 9, 11, 12, 13, 14], "paramet": [0, 3, 7, 8, 9, 11, 14], "ar": [0, 3, 5, 6, 7, 8, 9, 11, 12, 13, 14], "ignor": 0, "fals": [0, 2, 3, 4, 8], "estim": [0, 7], "rais": 0, "an": [0, 6, 7, 8, 10, 11, 12, 13, 14], "error": [0, 5], "should": [0, 1, 6, 8, 11, 12, 13, 14], "alia": 0, "instead": [0, 3, 7, 8, 11, 14], "origin": [0, 5, 12, 13, 14], "name": [0, 4, 5, 11, 12], "default": [0, 3, 4, 8, 9], "util": [0, 12, 13, 14], "metadata_rout": 0, "retain": 0, "exist": [0, 8], "allow": [0, 5, 6, 7, 9, 12, 13, 14], "you": [0, 6, 8, 10, 13], "chang": [0, 8, 11, 12, 13, 14], "some": [0, 3, 5, 6, 7, 8, 11, 12, 13, 14], "other": [0, 5, 6, 7, 8, 11, 12, 13, 14], "new": [0, 3, 5, 6, 7, 8, 10, 12, 13, 14], "version": [0, 5, 8, 9, 10, 11, 12, 13, 14], "1": [0, 1, 2, 3, 5, 6, 7, 8, 9, 11, 12, 13, 14], "3": [0, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "us": [0, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "sub": 0, "e": [0, 5, 6, 7, 8, 11, 12, 13, 14], "g": [0, 5, 7, 8, 12, 13, 14], "insid": [0, 11], "pipelin": 0, "ha": [0, 3, 4, 6, 7, 8, 11], "effect": [0, 11], "self": 0, "updat": 0, "object": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14], "set_predict_request": 0, "singleclassfix": [0, 7, 9], "logist": [0, 7, 8], "regress": [0, 7], "issu": [0, 6, 7, 12, 13, 14], "dataset": [0, 7, 11], "contain": [0, 7, 8, 11, 12, 13, 14], "singl": [0, 1, 5, 7, 12, 13, 14], "fix": [0, 3, 7, 8, 9, 12, 13, 14], "train": [0, 1, 6, 7, 8, 10], "data": [0, 3, 6, 7, 8, 9, 10], "alwai": [0, 7], "basiccollector": [0, 5, 6, 9, 11, 12, 13, 14], "skip_lp": [0, 4], "write_mp": 0, "collect": [0, 5, 6, 7, 8, 9, 11, 12, 13, 14], "filenam": [0, 2, 4, 5, 11], "build_model": [0, 4, 9], "n_job": [0, 2, 5, 6, 9, 11, 12, 14], "int": [0, 1, 2, 3, 11, 12, 13, 14], "progress": [0, 2], "verbos": [0, 11], "h5fieldsextractor": [0, 7, 10, 11, 12, 13, 14], "instance_field": [0, 6, 7, 11, 12, 13, 14], "var_field": [0, 6], "constr_field": [0, 6], "featuresextractor": [0, 1], "get_constr_featur": [0, 6], "h5": [0, 4, 5, 6, 11, 12, 13, 14], "h5file": [0, 2, 4, 5, 6], "get_instance_featur": [0, 6], "get_var_featur": [0, 6], "alvlouweh2017extractor": [0, 7, 9, 10], "with_m1": 0, "with_m2": 0, "with_m3": 0, "comput": [0, 1, 6, 7, 10, 11, 12, 14], "static": [0, 4, 6], "variabl": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "featur": [0, 4, 5, 7, 9, 10], "describ": [0, 3, 5, 6, 7, 8, 9, 11], "alvarez": [0, 6], "A": [0, 6, 7, 12, 14], "m": [0, 3, 6, 8, 11], "louveaux": [0, 6], "q": 0, "wehenkel": [0, 6], "l": 0, "2017": [0, 6], "machin": [0, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "learn": [0, 5, 6, 7, 8, 10, 12, 13, 14], "approxim": [0, 6], "strong": [0, 6, 11], "branch": [0, 5, 6, 11], "inform": [0, 5, 6, 10, 11], "journal": [0, 6, 8, 10], "29": [0, 6, 8], "185": [0, 6, 8], "195": [0, 6], "enforceproxim": [1, 7], "tol": 1, "primalcomponentact": 1, "perform": [1, 5, 6, 7, 8, 10, 11, 12, 13, 14], "model": [1, 3, 4, 5, 6, 7, 8, 9, 10], "abstractmodel": [1, 4], "var_nam": [1, 4], "var_valu": [1, 4], "stat": [1, 3, 4, 5, 6, 8, 9, 11, 12, 14], "dict": [1, 4], "fixvari": [1, 7], "abc": [1, 4], "abstract": [1, 6, 12, 13, 14], "setwarmstart": [1, 7, 9, 12, 13, 14], "expertprimalcompon": [1, 7], "before_mip": 1, "test_h5": 1, "train_h5": 1, "independentvarsprimalcompon": [1, 7, 9], "extractor": [1, 7, 9, 10, 11, 12, 13, 14], "jointvarsprimalcompon": [1, 7], "clf": [1, 7, 11, 12, 13, 14], "memorizingprimalcompon": [1, 7, 12, 13, 14], "constructor": [1, 3, 7, 9, 12, 13, 14], "solutionconstructor": 1, "memor": [1, 10, 12, 13, 14], "all": [1, 3, 5, 6, 7, 8, 9, 12, 13, 14], "solut": [1, 4, 5, 6, 7, 8, 9, 10, 11], "seen": [1, 7], "dure": [1, 7, 8, 11, 12, 13, 14], "classifi": [1, 7, 9, 12, 13, 14], "which": [1, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "solver": [1, 5, 7, 8, 10, 11, 12, 13, 14], "combin": [1, 3, 7, 8, 10], "multipl": [1, 5, 7, 8, 9, 12, 13, 14], "partial": [1, 5, 7, 12, 13, 14], "mergetopsolut": [1, 7, 12, 13, 14], "k": [1, 3, 6, 7, 8, 12, 13, 14], "warm": [1, 7, 9, 12, 13, 14], "start": [1, 7, 8, 9, 10, 11], "construct": [1, 7, 9, 12, 13, 14], "strategi": [1, 7, 9, 11, 12, 13, 14], "first": [1, 3, 5, 7, 8, 10, 11, 12, 13, 14], "select": [1, 7, 8, 11], "top": [1, 5, 7], "merg": [1, 7, 12, 13, 14], "them": [1, 6, 7, 8, 11, 12, 13, 14], "To": [1, 3, 7, 8, 9, 11, 12, 13, 14], "mean": [1, 7], "optim": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11], "valu": [1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "decis": [1, 5, 6, 7, 8, 9, 11, 12, 13, 14], "set": [1, 3, 5, 6, 7, 9, 10, 11, 12, 13, 14], "zero": [1, 7, 11], "0": [1, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "ii": [1, 5, 6, 7, 8, 9], "iii": [1, 6, 9], "leav": 1, "free": [1, 6, 7], "y_proba": 1, "selecttopsolut": [1, 7], "gzip": [2, 5, 12, 14], "read_pkl_gz": [2, 11, 12, 14], "write_pkl_gz": [2, 5, 6, 9, 11, 12, 14], "obj": [2, 5, 8, 9, 11, 12, 13, 14], "dirnam": 2, "prefix": [2, 5], "mode": [2, 3, 13], "r": [2, 5, 8, 9, 11, 12, 14], "close": [2, 7, 12, 13, 14], "get_arrai": [2, 5], "kei": [2, 5], "get_byt": 2, "byte": 2, "bytearrai": 2, "get_scalar": [2, 5], "get_spars": [2, 5], "coo_matrix": 2, "put_arrai": [2, 5], "put_byt": [2, 5], "put_scalar": [2, 5], "put_spars": [2, 5], "binpackdata": 3, "size": [3, 6, 7, 8, 11], "capac": [3, 8], "bin": [3, 10, 13], "pack": [3, 10], "numpi": [3, 5, 6, 8, 9, 11, 12, 14], "item": [3, 8], "binpackgener": [3, 8], "n": [3, 5, 6, 7, 8, 9, 11, 12, 13, 14], "rv_frozen": 3, "sizes_jitt": [3, 8], "capacity_jitt": [3, 8], "fix_item": [3, 8], "random": [3, 5, 6, 9, 11, 12, 13, 14], "instanc": [3, 5, 6, 7, 10], "gener": [3, 5, 6, 7, 9, 10], "sampl": [3, 8, 12, 13, 14], "distribut": [3, 8, 12, 13, 14], "decid": [3, 7, 8, 12, 13, 14], "respect": [3, 5, 6, 7, 8, 12, 13, 14], "number": [3, 5, 6, 8, 9, 11, 12, 13, 14], "independ": [3, 6, 8, 10, 11], "creat": [3, 5, 6, 7, 8, 11], "refer": [3, 6, 8], "previous": [3, 5, 6, 7, 8, 10, 12, 13, 14], "addit": [3, 8, 9, 11, 12, 13, 14], "perturb": [3, 8, 11], "s_i": [3, 8], "gamma_i": [3, 8], "where": [3, 7, 8, 12, 13, 14], "th": [3, 7, 8], "from": [3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "similarli": [3, 8], "b": [3, 5, 8], "beta": [3, 8], "remain": [3, 5, 6, 7, 8, 9], "same": [3, 6, 7, 8, 11], "across": [3, 7, 8], "appli": [3, 6, 7, 8, 9, 12, 13, 14], "complet": [3, 6, 7, 8, 10, 11], "differ": [3, 7, 8, 9, 11, 12, 13, 14], "n_sampl": 3, "build_binpack_model": [], "gurobimodel": [3, 4, 11, 12], "convert": [3, 6, 11, 12, 13, 14], "concret": [3, 12, 13, 14], "gurobipi": [3, 10, 11, 13, 14], "multiknapsackdata": 3, "price": [3, 5, 8], "weight": [3, 8, 11], "multi": [3, 5, 6, 10], "dimension": [3, 5, 6, 10], "knapsack": [3, 6, 10], "matrix": [3, 5, 6, 8, 9, 11, 12, 13, 14], "multiknapsackgener": [3, 6, 8], "scipi": [3, 5, 6, 8, 9, 11, 12, 14], "_distn_infrastructur": 3, "rv_discrete_frozen": 3, "w": [3, 5, 6, 8, 9, 12], "u": [3, 6, 8, 10, 12, 13, 14], "rv_continuous_frozen": 3, "alpha": [3, 6, 8], "fix_w": [3, 6, 8], "w_jitter": [3, 6, 8], "p_jitter": [3, 6, 8], "round": [3, 5, 6, 8, 9, 11], "constraint": [3, 5, 6, 7, 8, 9, 10, 12, 13, 14], "specifi": [3, 6, 7, 8, 9, 11], "j": [3, 7, 8, 11], "alpha_j": 3, "sum": [3, 8, 12, 13, 14], "rang": [3, 8, 9, 11, 12, 13, 14], "tight": [3, 8], "ratio": [3, 8], "make": [3, 5, 6, 7, 8, 9, 11, 12, 13, 14], "challeng": [3, 8, 12, 13, 14], "cost": [3, 5, 6, 7, 8, 12, 13, 14], "linearli": [3, 8], "correl": [3, 7, 8], "averag": [3, 7, 8], "u_i": 3, "coeffici": [3, 4, 5, 6, 8, 9, 11, 12, 13, 14], "multipli": [3, 8], "onc": [3, 8, 9, 11], "entir": [3, 5, 6, 7, 8, 11, 12, 13, 14], "kept": [3, 8], "also": [3, 5, 6, 7, 8, 10, 11, 12, 13, 14], "impli": [3, 8], "although": [3, 5, 8, 12, 13, 14], "deriv": [3, 6, 8, 11], "long": [3, 8], "constant": [3, 5, 7, 8], "still": [3, 7, 8, 11, 12, 13, 14], "ident": [3, 8], "gamma": [3, 5, 8, 9, 11], "when": [3, 5, 7, 8, 9, 12, 13, 14], "argument": [3, 7, 8, 9], "mai": [3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "roughli": [3, 8], "exactli": [3, 8, 11, 12, 13, 14], "calcul": [3, 8], "By": [3, 8, 9, 12, 13, 14], "nearest": [3, 7, 8, 12, 13, 14], "integ": [3, 4, 5, 8, 9, 10, 11, 12, 13, 14], "disabl": [3, 8, 9], "rv_discret": 3, "rv_continu": 3, "profit": 3, "boolean": 3, "minu": 3, "nois": 3, "ad": [3, 5, 11, 14], "build_multiknapsack_model": [], "pmediandata": 3, "distanc": [3, 7, 8, 11], "demand": [3, 8, 12, 13, 14], "p": [3, 10, 12, 13, 14], "capacit": [3, 10], "median": [3, 10], "between": [3, 6, 7, 8, 11, 12, 13, 14], "custom": [3, 8, 9], "facil": [3, 8], "need": [3, 5, 6, 8, 9, 11, 12, 13, 14], "chosen": [3, 8], "pmediangener": [3, 8], "distances_jitt": [3, 8], "demands_jitt": [3, 8], "capacities_jitt": [3, 8], "Then": [3, 7, 8], "build": [3, 5, 6, 7, 8, 9, 11, 12, 13, 14], "geograph": [3, 8], "locat": [3, 5, 8, 11], "xi": 3, "yi": 3, "For": [3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "final": [3, 7, 8, 11, 12, 13, 14], "euclidean": [3, 8], "factor": [3, 8], "slightli": [3, 8, 11], "coordin": 3, "point": [3, 5, 12, 13, 14], "scale": [3, 5, 6, 8, 9, 10, 11, 12, 13, 14], "build_pmedian_model": [], "setcoverdata": 3, "incidence_matrix": [3, 8], "setpackdata": 3, "maxweightstablesetdata": 3, "graph": [3, 8, 11], "networkx": [3, 11], "maxweightstablesetgener": [3, 8], "fix_graph": [3, 8], "maximum": [3, 8, 11], "stabl": [3, 5, 10, 11], "two": [3, 6, 7, 8, 11, 12, 13, 14], "oper": [3, 8, 12, 13, 14], "erd\u0151": [3, 8], "r\u00e9nyi": [3, 8], "g_": [3, 8], "w_v": [3, 8], "wai": [3, 7, 8], "travelingsalesmandata": [3, 11], "n_citi": [3, 11], "travelingsalesmangener": [3, 5, 8, 9, 11], "fix_citi": [3, 5, 8, 9, 11], "travel": [3, 5, 9, 10], "salesman": [3, 5, 9, 10], "unitcommitmentdata": [3, 12, 13, 14], "min_pow": [3, 8], "max_pow": [3, 8], "min_uptim": [3, 8], "min_downtim": [3, 8], "cost_startup": [3, 8], "cost_prod": [3, 8], "cost_fix": [3, 8], "build_uc_model": [12, 13, 14], "unit": [3, 9, 10, 11, 12, 13, 14], "commit": [3, 10, 12, 13, 14], "accord": 3, "equat": 3, "5": [3, 5, 6, 8, 11, 12, 13, 14], "bendotti": [3, 8], "fouilhoux": [3, 8], "rottner": [3, 8], "c": [3, 5, 8, 12, 13, 14], "min": [3, 5, 8, 11, 12, 13, 14], "up": [3, 5, 8, 9, 11, 12, 13, 14], "down": [3, 5, 8], "polytop": [3, 8], "comb": [3, 8], "36": [3, 8], "1024": [3, 8], "1058": [3, 8], "2018": [3, 8], "http": [3, 8, 10], "doi": [3, 8, 10], "org": [3, 8, 10], "10": [3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "1007": [3, 8], "s10878": [3, 8], "018": [3, 8], "0273": [3, 8], "minweightvertexcoverdata": 3, "where_cut": 4, "cut": [4, 8, 9, 10, 12, 14], "where_default": 4, "where_lazi": 4, "lazi": [4, 8, 9, 10], "add_constr": [4, 11], "constrs_lh": 4, "constrs_sens": 4, "constrs_rh": 4, "extract_after_load": 4, "extract_after_lp": 4, "extract_after_mip": 4, "fix_vari": 4, "lazy_enforc": [4, 11], "violat": [4, 11], "relax": [4, 5, 6, 8, 9, 11, 12, 13, 14], "set_cut": 4, "set_warm_start": 4, "write": [4, 5, 12, 13, 14], "inner": [4, 11, 12, 13, 14], "lazy_separ": [4, 11], "cuts_separ": [4, 11], "cuts_enforc": [4, 11], "constr": 4, "just": [4, 5, 12, 13, 14], "been": [4, 6, 7, 8, 11], "load": [4, 5, 7, 8, 9, 12, 13, 14], "extract": [4, 5, 6, 7], "problem": [4, 5, 6, 7, 9, 10], "etc": [4, 12, 13, 14], "linear": [4, 5, 6, 8, 10, 12, 13, 14], "program": [4, 10, 11, 12, 13, 14], "solv": [4, 5, 6, 7, 10], "dynam": 4, "lp": [4, 5, 6], "basi": [4, 5], "statu": [4, 5], "mix": [4, 5, 8, 10, 11, 12, 13, 14], "mip": [4, 5, 7, 8, 9, 10, 12, 13, 14], "set_time_limit": 4, "time_limit_sec": 4, "learningsolv": [4, 9, 11, 12, 13, 14], "compon": [4, 6, 9, 10, 11, 12, 13, 14], "data_filenam": 4, "step": [5, 6, 8, 9, 12, 13, 14], "assist": 5, "supervis": [5, 6], "larg": [5, 7, 8, 10, 12, 13, 14], "raw": [5, 6], "In": [5, 6, 7, 8, 9, 11, 12, 13, 14], "section": [5, 7, 8], "we": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "variou": [5, 6, 7, 8, 9], "includ": [5, 7, 8, 9, 10, 11], "miplearn": [5, 6, 7, 8, 9, 11, 12, 13, 14], "addition": [5, 11], "framework": [5, 6, 7, 9, 10, 11, 12, 13, 14], "follow": [5, 7, 8, 9, 10, 11, 12, 13, 14], "convent": [5, 7, 8, 10], "store": [5, 6, 8, 11, 12, 13, 14], "file": [5, 6, 7, 8, 9, 11, 12, 13, 14], "briefli": [5, 7], "rational": 5, "choos": [5, 7, 11], "analyz": 5, "later": 5, "take": [5, 6, 7, 10, 11], "input": [5, 6, 11, 12, 13, 14], "pickl": [5, 12, 14], "end": [5, 7, 8, 12, 13, 14], "pkl": [5, 9, 11, 12, 14], "gz": [5, 9, 11, 12, 13, 14], "build_tsp_model": 5, "after": [5, 8, 11, 12, 13, 14], "process": [5, 6, 7, 8, 9, 11, 12, 13, 14], "done": [5, 6], "alongsid": 5, "veri": [5, 7, 8, 10, 11, 12, 13, 14], "time": [5, 6, 7, 8, 9, 11, 12, 13, 14], "consum": [5, 6, 8], "thei": [5, 6, 7], "potenti": [5, 7, 8, 11, 12, 13, 14], "hierarch": 5, "hdf": 5, "wa": [5, 8, 9, 11, 12, 13, 14], "develop": [5, 6, 10, 12, 13, 14], "nation": [5, 10], "center": [5, 8], "supercomput": 5, "applic": [5, 7, 8, 11], "ncsa": 5, "organ": 5, "amount": [5, 8, 12, 13, 14], "support": [5, 7, 10, 11, 14], "varieti": [5, 8], "string": [5, 13], "arrai": 5, "csv": 5, "json": [5, 11], "sqlite": 5, "sever": 5, "advantag": [5, 7, 10], "storag": 5, "scalar": 5, "vector": [5, 6, 13], "matric": [5, 6, 8], "relat": [5, 12, 13, 14], "easier": [5, 8, 12, 13, 14], "transfer": 5, "high": [5, 6, 7, 8, 9, 10, 11, 13], "o": 5, "read": [5, 7, 11], "element": [5, 8], "without": [5, 6, 7, 8, 11], "memori": [5, 12, 13, 14], "begin": [5, 7, 8, 11, 12, 13, 14], "dramat": 5, "improv": [5, 6], "reduc": [5, 6, 11, 14], "requir": [5, 6, 7, 11, 12, 13, 14], "especi": [5, 7], "import": [5, 6, 7, 8, 9, 11, 12, 14], "On": [5, 9], "fly": 5, "compress": [5, 12, 13, 14], "can": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "transpar": 5, "acceler": [5, 6, 10, 11, 12, 13, 14], "network": [5, 7, 8], "portabl": 5, "well": [5, 8, 12, 13, 14], "typic": [5, 6, 7, 8, 10], "expens": 5, "ensur": [5, 6, 8, 12, 13, 14], "usabl": 5, "futur": [5, 12, 13, 14], "even": [5, 7, 12, 13, 14], "non": [5, 8, 9, 11, 12, 14], "python": [5, 11, 12, 13, 14], "ml": [5, 7, 8, 9, 10, 11, 12, 13, 14], "current": [5, 7, 8, 9, 11, 12, 13, 14], "simpl": [5, 6, 7, 8, 11], "numer": [5, 8], "advanc": [5, 10, 11, 12, 13, 14], "librari": [5, 8], "h5py": 5, "conveni": [5, 11], "access": 5, "less": [5, 7, 8], "prone": 5, "built": 5, "dens": 5, "spars": 5, "arbitrari": 5, "binari": [5, 7, 8, 9, 11, 12, 13, 14], "correspond": 5, "get": [5, 10], "pure": [5, 10], "automat": [5, 10, 11], "check": [5, 6, 7], "show": [5, 12, 13, 14], "usag": [5, 6, 7, 9, 11, 12, 13, 14], "np": [5, 6, 8, 9, 11, 12, 14], "seed": [5, 6, 8, 9, 11, 12, 13, 14], "reproduc": [5, 6, 8, 9, 11], "42": [5, 6, 8, 9, 11, 12, 13, 14], "empti": [5, 8, 11], "test": [5, 9, 11], "x1": [5, 6], "x2": [5, 6], "hello": 5, "world": [5, 8, 12, 13, 14], "x3": [5, 6], "2": [5, 6, 7, 8, 9, 11, 12, 13, 14], "x4": 5, "rand": [5, 13], "x5": 5, "re": 5, "open": [5, 6, 8, 12, 13, 14], "print": [5, 6, 8, 11, 12, 14], "37454012": 5, "9507143": 5, "7319939": 5, "5986585": 5, "15601864": 5, "15599452": 5, "05808361": 5, "8661761": 5, "601115": 5, "6803075671195984": 5, "4504992663860321": 5, "4": [5, 6, 7, 8, 9, 11, 12, 13, 14], "013264961540699005": 5, "9422017335891724": 5, "5632882118225098": 5, "38541650772094727": 5, "015966251492500305": 5, "2308938205242157": 5, "24102546274662018": 5, "6832635402679443": 5, "6099966764450073": 5, "83319491147995": 5, "most": [5, 6, 7, 8, 11, 12, 13, 14], "fundament": 5, "right": [5, 7, 8, 12, 13, 14], "hand": [5, 6, 11, 12, 13, 14], "side": [5, 12, 13, 14], "easili": [5, 6, 7, 9], "effici": [5, 8], "rebuild": 5, "invok": 5, "sensit": 5, "among": 5, "along": 5, "statist": [5, 8, 9, 11, 12, 13, 14], "explor": [5, 8, 9, 11, 12, 13, 14], "node": [5, 6, 8, 9, 11, 12, 13, 14], "wallclock": 5, "phase": 5, "static_": 5, "lp_": 5, "mip_": 5, "shown": [5, 7, 8, 11, 12, 13, 14], "tabl": 5, "descript": [5, 6], "static_constr_lh": 5, "nconstr": 5, "nvar": 5, "left": [5, 7, 8, 12, 13, 14], "static_constr_nam": 5, "static_constr_rh": [5, 6, 12, 13, 14], "static_constr_sens": 5, "sens": [5, 6, 12, 13, 14], "static_obj_offset": 5, "static_sens": 5, "minim": [5, 8, 12, 13, 14], "max": [5, 8, 11, 12, 13, 14], "static_var_lower_bound": 5, "lower": [5, 7], "bound": [5, 6, 8, 9, 11, 12, 13, 14], "static_var_nam": 5, "static_var_obj_coeff": [5, 6, 7, 11], "static_var_typ": 5, "continu": [5, 8, 9, 11, 12, 13, 14], "static_var_upper_bound": 5, "upper": 5, "lp_constr_basis_statu": 5, "lp_constr_dual_valu": [5, 6], "dual": [5, 6, 9, 11, 12, 14], "shadow": 5, "lp_constr_sa_rhs_": 5, "rh": [5, 6, 8, 9, 11, 12, 13, 14], "lp_constr_slack": [5, 6], "slack": [5, 6], "lp_obj_valu": [5, 6], "lp_var_basis_statu": 5, "superbas": 5, "lp_var_reduced_cost": [5, 6], "lp_var_sa_": 5, "ub": 5, "lb": 5, "_": [5, 12, 13, 14], "lp_var_valu": [5, 6], "lp_wallclock_tim": 5, "taken": 5, "second": [5, 7, 8, 9, 11, 12, 13, 14], "mip_constr_slack": 5, "best": [5, 7, 8, 9, 11, 12, 13, 14], "mip_gap": 5, "rel": [5, 6, 7, 8], "gap": [5, 8, 9, 11, 12, 13, 14], "mip_node_count": 5, "mip_obj_bound": 5, "mip_obj_valu": 5, "mip_var_valu": 5, "mip_wallclock_tim": 5, "few": [5, 8, 9, 11, 12, 13, 14], "run": [5, 6, 8, 11, 12, 13, 14], "screen": 5, "uniform": [5, 6, 8, 9, 11, 12, 13, 14], "randint": [5, 6, 8, 9, 11], "glob": [5, 6], "tsp": [5, 8, 9, 11], "build_tsp_model_gurobipi": [5, 8, 9, 11], "io": [5, 6, 9, 11, 12, 14], "low": [5, 6, 8, 9, 11], "11": [5, 6, 8, 9, 11], "loc": [5, 6, 8, 9, 11, 12, 14], "1000": [5, 6, 8, 9, 11, 12, 13, 14], "90": [5, 8, 9], "20": [5, 6, 8, 9, 11, 12, 13, 14], "save": [5, 9], "00000": [5, 6, 8, 9, 11, 12, 13, 14], "00001": [5, 9, 12, 13, 14], "four": [5, 7], "parallel": [5, 11], "bc": [5, 9, 11, 12, 13, 14], "2909": 5, "2921": [5, 8], "previou": [6, 7, 8, 9, 11], "page": [6, 7, 9], "introduc": [6, 8, 9], "collector": [6, 9, 10, 11, 12, 14], "hdf5": [6, 7, 9, 10, 11, 12, 13, 14], "order": [6, 7, 8], "becaus": [6, 8, 11, 12, 13, 14], "help": 6, "complex": [6, 7, 12, 13, 14], "format": [6, 10, 12, 13, 14], "research": [6, 8, 10], "propos": 6, "absolut": [6, 8], "invari": 6, "transform": 6, "amen": 6, "treat": 6, "separ": 6, "cycl": 6, "often": [6, 7, 8, 11, 12, 13, 14], "therefor": [6, 8, 11], "focu": 6, "filter": [6, 7], "represent": [6, 11], "much": [6, 7, 11, 12, 13, 14], "faster": [6, 12, 13, 14], "experi": 6, "resolv": [6, 8], "implement": [6, 7, 9, 10, 11, 12, 13, 14], "featureextractor": 6, "produc": [6, 8, 9, 11, 12, 13, 14], "either": [6, 7, 10, 12, 13, 14], "particular": [6, 8, 10], "subset": [6, 7, 8, 9], "known": 6, "alreadi": [6, 7, 11, 12, 13, 14], "avail": [6, 7, 8, 9, 11, 12, 13, 14], "assembl": 6, "field": [6, 7, 8, 10, 11, 12, 14], "shape": 6, "demonstr": [6, 12, 13, 14], "randomli": [6, 8], "shutil": 6, "rmtree": 6, "basic": [6, 9, 10, 11, 12, 13, 14], "multiknapsack": [6, 8], "ignore_error": 6, "6": [6, 8, 9, 11, 12, 13, 14], "100": [6, 7, 8, 11, 12, 13, 14], "25": [6, 7, 8, 9, 11, 12, 13, 14], "95": [6, 8, 9], "75": [6, 7, 8, 13], "ext": 6, "": [6, 7, 8, 10, 11], "1531": 6, "24308771": 6, "350": [6, 8], "692": [6, 8], "454": [6, 8], "709": [6, 8], "605": [6, 8], "543": [6, 8], "321": [6, 8], "674": [6, 8], "571": [6, 8], "341": [6, 8], "53124309e": 6, "03": [6, 8, 9, 11, 12, 13, 14], "50000000e": 6, "02": [6, 8, 9, 11, 12, 13, 14], "00000000e": 6, "00": [6, 8, 9, 11, 12, 13, 14], "9": [6, 8, 11, 12, 13, 14], "43468018e": 6, "01": [6, 8, 9, 11, 12, 13, 14], "92000000e": 6, "51703322e": 6, "54000000e": 6, "8": [6, 8, 11, 12, 13, 14], "25504150e": 6, "7": [6, 8, 11, 12, 13, 14], "09000000e": 6, "11373022e": 6, "05000000e": 6, "26055283e": 6, "43000000e": 6, "68693771e": 6, "21000000e": 6, "07488781e": 6, "74000000e": 6, "82293701e": 6, "71000000e": 6, "41129074e": 6, "41000000e": 6, "28830120e": 6, "3100000e": 6, "5978307e": 6, "0000000e": 6, "8800000e": 6, "2881632e": 6, "0040000e": 6, "0601316e": 6, "2690000e": 6, "3659772e": 6, "0070000e": 6, "8800571e": 6, "warn": [6, 8, 11, 12, 13, 14], "illustr": [6, 7, 9, 11, 12, 13, 14], "while": [6, 7, 8, 9, 11], "would": [6, 7], "vari": 6, "unabl": 6, "concaten": 6, "tree": [6, 11], "mimick": 6, "40": [6, 8, 9, 12, 13, 14], "out": [6, 12, 13, 14], "64": [6, 8], "outsid": 6, "defint": 6, "design": [6, 8, 12, 13, 14], "irrelev": 6, "row": [6, 8, 9, 11, 12, 13, 14], "column": [6, 8, 9, 11, 12, 13, 14], "permut": 6, "paper": 6, "alvlouweh2017": [6, 7, 9], "00e": [6, 8, 9, 11, 12, 13, 14], "75e": 6, "10e": 6, "30e": 6, "40e": 6, "80e": 6, "70e": 6, "60e": 6, "alejandro": 6, "marco": 6, "theoret": [6, 7], "synergi": 6, "2016": 6, "univers": [6, 8], "li\u00e8g": 6, "quentin": 6, "loui": 6, "assign": [7, 8, 12, 13, 14], "qualiti": [7, 10], "benefici": 7, "prune": 7, "portion": 7, "search": 7, "space": [7, 8], "altern": 7, "proof": 7, "doubl": 7, "feasibl": [7, 8, 10, 11], "both": [7, 11, 12, 13, 14], "pattern": [7, 10, 12, 13, 14], "emploi": [7, 8], "highli": 7, "configur": [7, 8, 10, 11], "accept": [7, 8, 9, 12, 13, 14], "depend": 7, "whether": [7, 12, 13, 14], "befor": [7, 11, 12, 13, 14], "present": 7, "themselv": 7, "discuss": [7, 9, 12, 13, 14], "three": [7, 9, 12, 13, 14], "approach": [7, 10], "benefit": [7, 8, 10], "limit": [7, 8, 11, 12, 13, 14], "main": [7, 9, 10], "maintain": 7, "guarante": 7, "signific": [7, 10, 11, 12, 13, 14], "abl": [7, 8, 10, 11, 12, 13, 14], "possibl": 7, "case": [7, 12, 13, 14], "evalu": [7, 8], "discard": 7, "infeas": [7, 8], "ones": [7, 11, 12, 13, 14], "proce": [7, 12, 14], "disadvantag": 7, "next": [7, 8, 11, 12, 13, 14], "modest": 7, "speedup": 7, "mani": [7, 8, 11], "accur": 7, "restrict": [7, 8, 9, 11, 12, 14], "small": [7, 11, 12, 13, 14], "fraction": [7, 11, 12, 13, 14], "find": [7, 8, 10, 11, 12, 13, 14], "scratch": 7, "lose": 7, "found": [7, 8, 9, 11, 12, 13, 14], "longer": 7, "global": 7, "suffici": 7, "might": 7, "were": [7, 8, 10], "third": [7, 8], "tri": 7, "strike": 7, "balanc": 7, "enforc": [7, 8, 11], "proxim": 7, "precis": 7, "bar": 7, "_1": 7, "ldot": [7, 8, 12, 13, 14], "_n": 7, "x_1": 7, "x_n": 7, "add": [7, 11, 13, 14], "sum_": [7, 8, 12, 13, 14], "_i": [7, 12, 13, 14], "x_i": [7, 8, 12, 13, 14], "leq": [7, 8, 12, 13, 14], "defin": [7, 11, 12, 13, 14], "indic": [7, 8, 12, 13, 14], "deviat": 7, "suggest": [7, 12, 13, 14], "toler": [7, 8, 9, 11, 12, 13, 14], "Its": 7, "lead": 7, "smaller": 7, "larger": [7, 11, 12, 13, 14], "distinct": 7, "try": 7, "infer": 7, "those": 7, "like": 7, "good": [7, 8, 12, 13, 14], "promis": 7, "variat": [7, 8], "fact": 7, "let": [7, 8, 12, 13, 14], "i_1": 7, "i_n": 7, "i_": 7, "expect": 7, "through": [7, 8, 11, 12, 13, 14], "scikit": [7, 13], "score": 7, "delta_i": 7, "higher": 7, "highest": 7, "suppos": [7, 12, 13, 14], "regressor": 7, "sequenc": [7, 11], "appear": 7, "ti": 7, "being": [7, 8], "broken": 7, "arbitrarili": 7, "keep": [7, 8, 12, 13, 14], "i_k": 7, "x_l": 7, "tild": 7, "_l": 7, "frac": [7, 8], "i_j": 7, "y_j": [7, 8], "text": [7, 8, 12, 13, 14], "le": 7, "theta_0": 7, "ge": [7, 8], "theta_1": 7, "squar": [7, 8, 11], "undefin": 7, "meant": 7, "simpler": 7, "literatur": 7, "post": 7, "dummyclassifi": 7, "anoth": 7, "similar": [7, 8, 11, 12, 13, 14], "itself": [7, 11, 12, 13, 14], "kneighborsclassifi": [7, 11, 12, 13, 14], "cours": 7, "dummi": 7, "neighbor": [7, 11, 12, 13, 14], "mem": [7, 11, 12, 14], "dummyextractor": 7, "comp1": [7, 9], "1_000_000": 7, "closest": 7, "assum": [7, 8, 10, 11, 12, 13, 14], "comp2": [7, 9], "n_neighbor": [7, 11, 12, 13, 14], "comp3": [7, 9], "natur": 7, "directli": [7, 11], "novel": 7, "never": 7, "observ": [7, 10], "jointli": 7, "x_j": [7, 8], "copi": 7, "1_j": 7, "n_j": 7, "label": 7, "aris": [7, 8], "practic": [7, 8, 11, 12, 13, 14], "certain": [7, 10], "frequent": [7, 8, 12, 13, 14], "pose": 7, "standard": [7, 12, 13, 14], "sinc": 7, "do": [7, 11, 13], "wrapper": [7, 12, 13, 14], "It": [7, 8, 9, 11, 12, 13, 14], "reliabl": 7, "accuraci": 7, "situat": [7, 8, 12, 13, 14], "confid": 7, "purpos": [7, 8, 12, 13, 14], "ask": [7, 8, 11], "eras": 7, "whose": [7, 8], "suitabl": [7, 8], "handl": [7, 12, 13, 14], "overrid": 7, "linear_model": [7, 9], "logisticregress": [7, 9], "minprob": [7, 9], "singleclass": [7, 9], "indep": [7, 9], "than": [7, 8], "99": [7, 8], "comp": [7, 12, 13, 14], "subsect": 7, "straightforwad": 7, "simpli": [7, 11], "feed": 7, "forward": 7, "neural": 7, "indeped": 7, "common": 7, "multioutput": 7, "chain": [7, 8], "alon": 7, "plu": 7, "classifierchain": 7, "neural_network": 7, "mlpclassifi": 7, "feedforward": 7, "spend": [7, 12, 13, 14], "effort": [7, 11], "tweak": 7, "usual": [7, 8, 12, 13, 14], "idea": 7, "what": [7, 8, 11], "impact": 7, "simplifi": [7, 11, 12, 13, 14], "task": [7, 8], "benchmark": [7, 10], "pre": 7, "miplib": 8, "tsplib": 8, "shortcom": 8, "howev": [8, 11, 12, 13, 14], "enhanc": [8, 10], "hundr": 8, "thousand": 8, "magnitud": 8, "homogen": 8, "buch": 8, "tackl": 8, "wide": 8, "classic": 8, "techniqu": [8, 10, 11], "measur": [8, 11], "As": [8, 11], "nine": 8, "customiz": 8, "flexibl": [8, 9], "divers": 8, "characterist": 8, "belong": 8, "algorithm": 8, "subject": [8, 12, 13, 14], "your": [8, 10, 12, 13, 14], "written": 8, "exponenti": 8, "mp": [8, 12, 13, 14], "trial": 8, "primal": [8, 9, 10, 11, 12, 14], "combinatori": 8, "finit": 8, "indivis": 8, "hard": 8, "warehous": 8, "manag": 8, "determin": 8, "transport": 8, "equal": [8, 12, 13, 14], "everi": [8, 11], "pair": [8, 11], "x_": 8, "ij": 8, "align": [8, 12, 13, 14], "foral": 8, "y_i": [8, 12, 13, 14], "binpack": 8, "ten": 8, "47": 8, "26": [8, 12, 13, 14], "19": [8, 11], "52": 8, "14": [8, 9], "65": 8, "21": [8, 11, 12, 13, 14], "76": 8, "82": 8, "16": [8, 9, 11, 13], "96": 8, "102": 8, "24": 8, "69": [8, 11], "22": 8, "78": [8, 11], "17": 8, "81": [8, 11], "83": 8, "12": [8, 11, 14], "67": 8, "46": 8, "05": [8, 12], "13": [8, 12, 13, 14], "66": [8, 11, 13], "18": [8, 11], "08": [8, 12, 13, 14], "93": [8, 11], "41": [8, 9], "55": 8, "15": [8, 9, 11, 12, 13, 14], "89": 8, "59": 8, "51": [8, 11], "68": [8, 11], "62": 8, "92": 8, "94": 8, "23": 8, "85": 8, "107": [8, 11], "77": [8, 11], "79": [8, 11], "06": [8, 12, 13, 14], "44": 8, "28": [8, 9, 11, 12, 14], "98": 8, "43": 8, "104": 8, "58": [8, 11], "87": 8, "74": 8, "61": 8, "07": [8, 12, 13, 14], "37": 8, "91": 8, "57": 8, "56": [8, 9], "97": 8, "09": [8, 12, 13, 14], "licens": [8, 9, 11, 12, 13, 14], "product": [8, 9, 11, 12, 13, 14], "expir": [8, 9, 11, 12, 14], "2024": [8, 9, 11, 12, 14], "gurobi": [8, 9, 10, 11, 12, 13, 14], "v10": [8, 9, 11, 12, 13, 14], "3rc0": [8, 9, 11, 12, 14], "linux64": [8, 9, 11, 12, 13, 14], "cpu": [8, 9, 11, 12, 13, 14], "13th": [8, 9, 11, 12, 14], "gen": [8, 9, 11, 12, 14], "intel": [8, 9, 11, 12, 14], "core": [8, 9, 11, 12, 13, 14], "tm": [8, 9, 11, 12, 14], "i7": [8, 9, 11, 12, 14], "13800h": [8, 9, 11, 12, 14], "instruct": [8, 9, 11, 12, 13, 14], "sse2": [8, 9, 11, 12, 13, 14], "avx": [8, 9, 11, 12, 13, 14], "avx2": [8, 9, 11, 12, 13, 14], "thread": [8, 9, 11, 12, 13, 14], "count": [8, 9, 11, 12, 13, 14], "physic": [8, 9, 11, 12, 13, 14], "logic": [8, 9, 11, 12, 13, 14], "processor": [8, 9, 11, 12, 13, 14], "110": [8, 9], "210": 8, "nonzero": [8, 9, 11, 12, 13, 14], "fingerprint": [8, 9, 11, 12, 13, 14], "0x1ff9913f": 8, "1e": [8, 9, 11, 12, 13, 14], "heurist": [8, 11, 12, 13, 14], "0000000": [8, 11, 12, 13, 14], "presolv": [8, 9, 11, 12, 13, 14], "root": [8, 9, 11, 12, 13, 14], "274844e": 8, "38": 8, "iter": [8, 9, 11, 12, 13, 14], "expl": [8, 9, 11, 12, 13, 14], "unexpl": [8, 9, 11, 12, 13, 14], "depth": [8, 9, 11, 12, 13, 14], "intinf": [8, 9, 11, 12, 13, 14], "incumb": [8, 9, 11, 12, 13, 14], "bestbd": [8, 9, 11, 12, 13, 14], "27484": 8, "h": [8, 11, 12, 13, 14], "simplex": [8, 9, 11, 12, 13, 14], "04": [8, 9, 11, 12, 13, 14], "000000000000e": 8, "0000": [8, 9, 11, 12, 13, 14], "involv": [8, 9], "place": 8, "total": [8, 12, 13, 14], "maxim": 8, "exceed": 8, "repres": [8, 11], "resourc": 8, "must": [8, 11], "satisfi": 8, "p_j": 8, "w_": 8, "b_i": 8, "alpha_i": 8, "u_j": 8, "gamma_": 8, "frevil": 8, "arnaud": 8, "g\u00e9rard": 8, "plateau": 8, "preprocess": 8, "procedur": [8, 11, 12, 13, 14], "multidimension": 8, "discret": [8, 10], "mathemat": [8, 12, 13, 14], "49": 8, "1994": 8, "189": 8, "212": 8, "fr\u00e9vill": 8, "european": 8, "155": 8, "2004": 8, "five": 8, "around": [8, 12, 13, 14], "392": 8, "977": 8, "764": [8, 13], "622": 8, "158": 8, "163": 8, "840": 8, "574": 8, "696": 8, "948": 8, "860": 8, "209": 8, "178": 8, "184": 8, "293": 8, "541": 8, "414": 8, "305": 8, "629": 8, "135": 8, "278": 8, "378": 8, "466": 8, "803": 8, "205": 8, "492": 8, "584": 8, "45": [8, 9], "630": 8, "173": 8, "907": 8, "947": 8, "794": 8, "312": 8, "711": 8, "439": 8, "117": 8, "506": 8, "35": [8, 11, 13], "915": 8, "266": 8, "662": 8, "516": 8, "521": 8, "1310": 8, "988": 8, "1004": 8, "1269": 8, "50": [8, 9, 11, 12, 13, 14], "0xaf3ac15": 8, "2e": [8, 9, 11, 12, 13, 14], "3e": [8, 12, 14], "7e": [8, 12, 13, 14], "804": 8, "remov": [8, 11, 12, 13, 14], "34": 8, "428726e": 8, "1428": 8, "7265": 8, "1279": 8, "000000": [8, 11], "plane": [8, 9, 11, 12, 14], "No": 8, "better": 8, "279000000000e": 8, "serv": 8, "goal": 8, "suppli": 8, "d_i": 8, "furthermor": 8, "c_j": 8, "pmedian": 8, "100x100": 8, "250": 8, "32": [8, 13], "33": 8, "86": 8, "88": 8, "72": 8, "80": 8, "39": [8, 9, 12], "71": 8, "70": [8, 12, 13, 14], "30": [8, 12, 13, 14], "73": 8, "101": 8, "63": 8, "54": 8, "111": 8, "27": 8, "151": 8, "237": 8, "241": 8, "202": 8, "171": 8, "220": 8, "0x8d8d9346": 8, "5e": 8, "4e": [8, 9], "368": 8, "7900000": 8, "245": 8, "6400000": 8, "000000e": [8, 9, 11, 12, 14], "64000": 8, "1900000": 8, "148": 8, "6300000": 8, "14595": 8, "113": 8, "1800000": 8, "84": 8, "18000": 8, "5000000": 8, "3900000": 8, "9800000": 8, "28872": 8, "31": 8, "98000": 8, "9200000": 8, "06884": 8, "92000": 8, "2300000": 8, "23000": 8, "123000000000e": 8, "aim": 8, "overlap": 8, "real": [8, 12, 13, 14], "scenario": 8, "schedul": [8, 11], "alloc": 8, "s_1": 8, "s_m": 8, "union": [8, 12, 14], "w_j": 8, "s_j": 8, "geq": [8, 12, 13, 14], "setcovergener": 8, "n_element": 8, "n_set": 8, "incid": 8, "densiti": 8, "d": [8, 12, 13, 14], "entri": 8, "bernoulli": 8, "least": 8, "identifi": [8, 10, 11], "uniformli": 8, "modifi": 8, "denot": [8, 12, 13, 14], "fix_set": 8, "costs_jitt": 8, "setcov": 8, "build_setcover_model_gurobipi": 8, "interv": 8, "1044": 8, "850": 8, "1014": 8, "944": 8, "697": 8, "971": 8, "213": 8, "425": 8, "0xe5c2d4fa": 8, "4900000": 8, "134900000000e": 8, "disjoint": 8, "within": 8, "airlin": [8, 11], "flight": 8, "crew": 8, "setpackgener": 8, "detail": [8, 11], "document": 8, "setpack": 8, "build_setpack_model": [], "0x4ee91388": 8, "1265": 8, "560000": 8, "1986": 8, "986370000000e": 8, "theori": 8, "vertic": 8, "adjac": [8, 11], "simultan": [8, 12, 13, 14], "conflict": 8, "v": 8, "undirect": 8, "x_v": 8, "x_u": 8, "recal": [8, 11], "edg": [8, 11], "probabilti": 8, "stab": 8, "build_stab_model_gurobipi": [8, 11], "60": [8, 11, 12, 13, 14], "48": 8, "precrush": [8, 9, 11], "0x3240ea4a": 8, "6e": [8, 12, 13, 14], "219": 8, "1400000": 8, "205650e": 8, "14000": 8, "191400000000e": 8, "callback": [8, 9, 11, 13], "299": 8, "sec": [8, 9, 11, 13], "citi": [8, 11], "shortest": [8, 11], "visit": [8, 11], "hamiltonian": [8, 11], "path": [8, 11, 12, 13, 14], "karp": [8, 11], "deliveri": [8, 11], "truck": [8, 11], "d_e": 8, "x_e": 8, "delta": 8, "subsetneq": 8, "neq": 8, "emptyset": 8, "extrem": 8, "setminu": 8, "inequ": 8, "initi": [8, 11, 12, 13, 14], "d_": 8, "sqrt": 8, "1000x1000": 8, "box": 8, "513": 8, "762": 8, "358": 8, "325": 8, "374": 8, "932": 8, "731": 8, "391": 8, "634": 8, "726": 8, "765": 8, "754": 8, "409": 8, "719": 8, "446": 8, "400": 8, "780": 8, "756": 8, "744": 8, "656": 8, "383": 8, "334": 8, "549": 8, "925": 8, "702": 8, "422": 8, "728": 8, "663": 8, "526": 8, "708": 8, "377": 8, "462": 8, "1072": 8, "802": 8, "501": 8, "853": 8, "654": 8, "603": 8, "433": 8, "381": 8, "255": 8, "287": 8, "493": 8, "900": 8, "354": 8, "323": 8, "367": 8, "841": 8, "727": 8, "444": 8, "668": 8, "690": 8, "687": 8, "175": 8, "725": 8, "398": 8, "666": 8, "827": 8, "736": 8, "371": [8, 13], "317": 8, "570": 8, "1090": 8, "712": 8, "648": 8, "655": 8, "650": 8, "356": 8, "469": 8, "1146": 8, "779": 8, "476": 8, "752": 8, "681": 8, "565": [8, 12, 14], "394": 8, "286": 8, "274": 8, "lazyconstraint": [8, 9, 11], "0x719675e5": 8, "921000e": 8, "921000000000e": 8, "106": 8, "power": [8, 10, 12, 13, 14], "turn": [8, 12, 13, 14], "off": 8, "meet": 8, "electr": [8, 12, 13, 14], "lowest": 8, "ramp": 8, "prevent": 8, "output": [8, 13], "level": [8, 11], "too": 8, "quickli": 8, "minimum": 8, "switch": 8, "system": [8, 10, 12, 13, 14], "plan": 8, "doe": [8, 11, 12, 13, 14], "trajectori": 8, "piecewis": 8, "curv": 8, "transmiss": 8, "secur": 8, "realist": [8, 12, 13, 14], "unitcommit": 8, "jl": 8, "t": 8, "d_t": 8, "mw": [8, 12, 13, 14], "max_g": 8, "min_g": 8, "l_g": 8, "regardless": 8, "var": [8, 10, 12, 13, 14], "gt": 8, "p_": 8, "_g": 8, "gk": 8, "cannot": [8, 14], "symmetr": 8, "fourth": 8, "period": 8, "fifth": 8, "sixth": 8, "quantiti": 8, "unitcommitmentgener": 8, "n_unit": 8, "n_period": 8, "valid": 8, "rather": 8, "startup": 8, "peak": 8, "4c": 8, "8c": 8, "cost_jitt": 8, "demand_jitt": 8, "fix_unit": 8, "uc": [8, 12, 13, 14], "450": [8, 11, 12, 13, 14], "10_000": 8, "1_000": 8, "f": [8, 11], "271": 8, "207": 8, "218": 8, "477": 8, "379": 8, "319": 8, "120": 8, "3042": 8, "5247": 8, "4319": 8, "2912": 8, "6118": 8, "53": 8, "199": 8, "514": 8, "592": 8, "607": 8, "905": 8, "1166": 8, "1212": 8, "1127": 8, "953": 8, "796": 8, "783": 8, "866": 8, "768": 8, "899": 8, "946": 8, "1087": 8, "1048": 8, "992": 8, "750": 8, "691": 8, "606": 8, "658": 8, "809": 8, "2458": 8, "6200": 8, "4585": 8, "2666": 8, "4783": 8, "196": 8, "416": 8, "626": 8, "981": 8, "1095": 8, "1102": 8, "1088": 8, "863": 8, "848": 8, "761": 8, "828": 8, "775": 8, "834": 8, "959": 8, "865": 8, "1193": 8, "985": 8, "893": 8, "962": 8, "781": 8, "723": 8, "639": 8, "602": 8, "787": 8, "578": 8, "360": 8, "2128": 8, "0x4dc1c661": 8, "240": 8, "244": 8, "131": 8, "229": 8, "842": 8, "116": 8, "440662": 8, "46430": 8, "429461": 8, "97680": 8, "374043": 8, "64040": 8, "361348e": 8, "142": 8, "336134": 8, "820": 8, "640": 8, "368600": 8, "14450": 8, "364721": 8, "76610": 8, "cutoff": [8, 9], "766": 8, "gomori": [8, 11, 12, 14], "cliqu": 8, "222": [8, 11], "mir": [8, 11, 12, 14], "flow": [8, 12, 14], "rlt": 8, "lift": 8, "234": 8, "364722": 8, "374044": 8, "647217661000e": 8, "connect": 8, "bioinformat": 8, "w_g": 8, "minweightvertexcovergener": 8, "behav": 8, "vertexcov": 8, "build_vertexcover_model": [], "0x2d2d1390": 8, "301": 8, "995750e": 8, "010000000000e": 8, "individu": [9, 12, 13, 14], "integr": 9, "aforement": 9, "cohes": 9, "whole": 9, "conclud": 9, "runnabl": 9, "compos": 9, "target": 9, "part": [9, 11], "architectur": 9, "enabl": 9, "equival": 9, "tradit": 9, "sequenti": 9, "could": [9, 12, 13, 14], "achiev": [9, 12, 13, 14], "dictionari": [9, 11], "train_data": [9, 11, 12, 13, 14], "test_data": [9, 11, 12, 13, 14], "action": [9, 10, 12, 13, 14], "all_data": 9, "split": 9, "0x6ddcd141": 9, "inf": [9, 11, 12, 14], "3600000e": 9, "700000e": [9, 11], "7610000e": 9, "761000000e": 9, "0x74ca3d0a": 9, "2796": 9, "761000e": 9, "2761": 9, "796000000000e": 9, "extens": 10, "state": [10, 12, 13, 14], "art": [10, 12, 13, 14], "cplex": [10, 11, 12, 13, 14], "xpress": [10, 11, 12, 13, 14], "unlik": [10, 11], "prove": 10, "full": 10, "happen": 10, "famili": 10, "redund": 10, "pyomo": [10, 11, 12, 13], "jump": [10, 11, 12, 14], "overview": 10, "cover": [10, 12, 14], "vertex": 10, "joint": 10, "expert": 10, "exampl": [10, 11, 12, 13, 14], "helper": 10, "alinson": 10, "xavier": 10, "argonn": 10, "laboratori": 10, "feng": 10, "qiu": 10, "xiaoyi": 10, "gu": 10, "georgia": 10, "institut": 10, "technologi": 10, "berkai": 10, "becu": 10, "santanu": 10, "dei": 10, "upon": 10, "direct": 10, "ldrd": 10, "fund": 10, "director": 10, "offic": 10, "scienc": 10, "depart": 10, "energi": 10, "grid": [10, 12, 13, 14], "kindli": 10, "packag": [10, 11, 12, 13, 14], "zenodo": 10, "2023": 10, "5281": 10, "4287567": 10, "shabbir": 10, "ahm": 10, "2020": 10, "1287": 10, "ijoc": 10, "0976": 10, "tighten": 11, "region": 11, "elimin": 11, "thu": 11, "formul": [11, 12, 13, 14], "omit": 11, "success": 11, "tutori": [11, 12, 13, 14], "subtour": 11, "correctli": 11, "instal": 11, "compat": [11, 12, 13, 14], "julia": [11, 12, 13, 14], "sourc": [11, 12, 13, 14], "code": [11, 12, 13, 14], "build_tsp_model_pyomo": 11, "build_tsp_model_jump": 11, "gurobi_persist": [11, 14], "pr": 11, "persist": [11, 14], "welcom": [11, 12, 13, 14], "scip": 11, "glpk": 11, "cbc": 11, "newer": [11, 12, 13, 14], "further": 11, "becom": 11, "log": [11, 12, 13, 14], "basicconfig": 11, "getlogg": 11, "setlevel": 11, "critic": [], "memorizingcutscompon": [], "expertcutscompon": [], "expertlazycompon": [], "memorizinglazycompon": 11, "500": [11, 12, 13, 14], "info": 11, "225": [], "1225": 11, "2450": 11, "0x04d7bec1": 11, "0600000e": 11, "5880000e": 11, "588000000e": 11, "ahead": 11, "6091": 11, "0x09bd34d6": 11, "29853": 11, "139000e": 11, "6139": 11, "6390": 11, "6165": 11, "50000": 11, "6198": 11, "6219": 11, "half": 11, "219000000000e": 11, "143": 8, "aot": [], "0x77a94572": 11, "29695": 11, "588000e": 11, "5588": 11, "27241": 11, "5898": 11, "6066": 11, "6128": 11, "6368": 11, "6154": 11, "75000": 11, "6204": 11, "224": 11, "togeth": [12, 13, 14], "broader": [12, 14], "earli": [12, 13, 14], "stage": [12, 13, 14], "bug": [12, 13, 14], "submit": [12, 13, 14], "report": [12, 13, 14], "our": [11, 12, 13, 14], "github": [12, 13, 14], "repositori": [12, 13, 14], "comment": [12, 13, 14], "pull": [12, 13, 14], "languag": [12, 13, 14], "offici": [12, 13, 14], "websit": [12, 13, 14], "pip": [12, 14], "commerci": [12, 13, 14], "milp": [12, 13, 14], "demo": [12, 14], "possibli": [12, 13, 14], "incompat": [12, 13, 14], "releas": [12, 13, 14], "recommend": [11, 12, 13, 14], "project": [12, 13, 14], "simplif": [12, 13, 14], "daili": [12, 13, 14], "compani": [12, 13, 14], "onlin": [12, 13, 14], "hour": [12, 13, 14], "dai": [12, 13, 14], "own": [12, 13, 14], "g_1": [12, 13, 14], "g_n": [12, 13, 14], "offlin": [12, 13, 14], "g_i": [12, 13, 14], "megawatt": [12, 13, 14], "noth": [12, 13, 14], "quad": [12, 13, 14], "hold": [11, 12, 13, 14], "dataclass": [11, 12, 14], "pmin": [12, 13, 14], "pmax": [12, 13, 14], "cfix": [12, 13, 14], "cvar": [12, 13, 14], "structur": [12, 13, 14], "gp": [11, 12], "grb": [11, 12], "quicksum": [11, 12], "def": [11, 12, 14], "isinst": [11, 12, 14], "len": [11, 12, 14], "_x": 12, "addvar": [11, 12], "vtype": [11, 12], "_y": 12, "setobject": [11, 12], "addconstr": [11, 12], "At": [12, 13, 14], "700": [12, 13, 14], "600": [12, 13, 14], "objval": 12, "0x58dfdd53": 12, "1400": [12, 13, 14], "035000e": [12, 13, 14], "1035": [12, 13, 14], "1105": [12, 13, 14], "71429": [12, 13, 14], "1320": [12, 13, 14], "320000000000e": [12, 13, 14], "thin": [12, 13, 14], "agnost": [11, 12, 13, 14], "control": [12, 13, 14], "queri": [11, 12, 13, 14], "consist": 12, "slower": [12, 13, 14], "upfront": [12, 13, 14], "histor": [12, 13, 14], "random_uc_data": [12, 13, 14], "100_000": [12, 13, 14], "400_000": [12, 14], "rv": [12, 14], "simplic": [12, 13, 14], "now": [12, 13, 14], "impract": [12, 13, 14], "export": [12, 13, 14], "With": [12, 13, 14], "agre": [12, 13, 14], "unanim": [12, 13, 14], "solver_ml": [12, 13, 14], "1001": [12, 13, 14], "2500": [12, 13, 14], "0xa8b70287": 12, "6166537e": [12, 14], "648803e": [12, 14], "2906219e": [12, 14], "290621916e": [12, 14], "0xcf27855a": 12, "29153e": [12, 14], "290622e": [12, 14], "512": [12, 14], "2906e": [12, 14], "2915e": [12, 14], "2907e": [12, 14], "291528276179e": [12, 14], "290733258025e": [12, 14], "0096": [12, 14], "482": 12, "examin": [12, 13, 14], "line": [12, 13, 14], "repeat": [12, 13, 14], "solver_baselin": [12, 13, 14], "0x4cbbf7c7": 12, "757128e": [12, 14], "7571e": [12, 14], "298273e": [12, 14], "2983e": [12, 14], "293980e": [12, 14], "2940e": [12, 14], "2908e": [12, 14], "291465e": [12, 14], "1031": 12, "29147e": [12, 14], "29398e": [12, 14], "29827e": [12, 14], "75713e": [12, 14], "291465302389e": [12, 14], "290781665333e": [12, 14], "0082": [12, 14], "miss": [12, 13, 14], "had": [12, 13, 14], "significantli": [12, 13, 14], "inferior": [12, 13, 14], "intern": [12, 13, 14], "almost": [12, 13, 14], "term": [12, 13, 14], "0x19042f12": 12, "5917580e": [12, 14], "627453e": [12, 14], "2535968e": [12, 14], "253596777e": [12, 14], "0xf97cde91": 12, "25814e": [12, 14], "25512e": [12, 14], "25483e": [12, 14], "25459e": [12, 14], "253597e": [12, 14], "2536e": [12, 14], "2546e": [12, 14], "2537e": [12, 14], "2538e": [12, 14], "strongcg": [12, 14], "575": [12, 14], "254590409970e": [12, 14], "253768093811e": [12, 14], "0100": [12, 14], "8254590409": [12, 14], "969726": 12, "935662": [12, 14], "0949262811": [12, 14], "1604270": [12, 14], "0218116897": [12, 14], "launch": 13, "repl": 13, "enter": 13, "pkg": 13, "pycal": 13, "suppressor": 13, "cleaner": 13, "replac": [13, 14], "struct": 13, "float64": 13, "jld2": 13, "isa": 13, "read_jld2": 13, "length": 13, "eq_max_pow": [13, 14], "eq_min_pow": [13, 14], "eq_demand": [13, 14], "jumpmodel": 13, "objective_valu": 13, "1rc0": 13, "amd": 13, "ryzen": 13, "7950x": 13, "avx512": 13, "0x55e33a07": 13, "0e": 13, "500_000": 13, "125": 13, "00002": 13, "write_jld2": 13, "451": 13, "suppress_out": 13, "knn": 13, "pyimport": 13, "0xd2378195": 13, "02165e": 13, "021568e": 13, "510": 13, "0216e": 13, "0217e": 13, "021651058978e": 13, "021567971257e": 13, "0081": 13, "169": 13, "0xb45c0594": 13, "071463e": 13, "0715e": 13, "025162e": 13, "0252e": 13, "023090e": 13, "022335e": 13, "022281e": 13, "021753e": 13, "021752e": 13, "0218e": 13, "021651e": 13, "02175e": 13, "02228e": 13, "07146e": 13, "021573363741e": 13, "0076": 13, "204": 13, "0x974a7fba": 13, "86729e": 13, "86675e": 13, "86654e": 13, "8661e": 13, "865344e": 13, "8653e": 13, "866096485614e": 13, "865343669936e": 13, "182": 13, "866096485613789e9": 13, "environ": 14, "pe": 14, "pyomomodel": 14, "concretemodel": 14, "domain": 14, "nonnegativer": 14, "expr": 14, "constraintlist": 14, "qcpdual": 14, "0x15c7a953": 14, "cplex_persist": 14, "xpress_persist": 14, "0x5e67c6e": 14, "0x4a7cfe2b": 14, "0x8a0f9587": 14, "1025": 14, "0x2dfe4e1c": 14, "0x0f0924a1": 14, "96973": 14, "1369560": 14, "835229226": 14, "602828": 14, "5321028307": 14, "ndar": [], "rai": [], "travelingsalesmandgener": 11, "actual": 11, "annot": 11, "tuplelist": 11, "nx": 11, "build_tsp_model_gurobipy_simplifi": 11, "eq_degre": 11, "x_val": 11, "cbgetsolut": 11, "selected_edg": 11, "add_edges_from": 11, "connected_compon": 11, "cut_edg": 11, "append": 11, "regular": 11, "uniqu": 11, "responsbl": 11, "serial": 11, "tupl": 11, "0x9904dd15": [], "8600000e": [], "6185000e": [], "618500000e": [], "112": [], "12482": [], "0xd7027ec2": [], "237500e": [], "6237": [], "6577": [], "6314": [], "6250": [], "6287": [], "6311": [], "232": [], "314000000000e": [], "145": [], "wherea": 11, "necessari": 11, "verifi": 11, "major": 11, "increas": 11, "so": 11, "0xdcf5ae58": [], "29294": [], "618500e": [], "5618": [], "26112": [], "6110": [], "6583": [], "6243": [], "6278": [], "6581": [], "6519": [], "6283": [], "6313": [], "306": [], "223": [], "There": 11, "12411": [], "0x48832a9e": [], "6939": [], "6147": [], "6194": [], "147": [], "172": [], "focus": 11, "cbgetnoderel": 11, "build_stab_model_pyomo": 11, "build_stab_model_jump": 11, "144": [], "141": 11, "170": 11, "build_binpack_model_gurobipi": [3, 8], "build_multiknapsack_model_gurobipi": [3, 6, 8], "build_pmedian_model_gurobipi": [3, 8], "build_uc_model_gurobipi": [3, 8], "490": 8, "190": 8, "build_setpack_model_gurobipi": 8, "238": 8, "677": 8, "build_vertexcover_model_gurobipi": 8, "326": 8}, "objects": {"miplearn.classifiers": [[0, 0, 0, "-", "minprob"], [0, 0, 0, "-", "singleclass"]], "miplearn.classifiers.minprob": [[0, 1, 1, "", "MinProbabilityClassifier"]], "miplearn.classifiers.minprob.MinProbabilityClassifier": [[0, 2, 1, "", "fit"], [0, 2, 1, "", "predict"], [0, 2, 1, "", "set_fit_request"], [0, 2, 1, "", "set_predict_request"]], "miplearn.classifiers.singleclass": [[0, 1, 1, "", "SingleClassFix"]], "miplearn.classifiers.singleclass.SingleClassFix": [[0, 2, 1, "", "fit"], [0, 2, 1, "", "predict"], [0, 2, 1, "", "set_fit_request"], [0, 2, 1, "", "set_predict_request"]], "miplearn.collectors": [[0, 0, 0, "-", "basic"]], "miplearn.collectors.basic": [[0, 1, 1, "", "BasicCollector"]], "miplearn.collectors.basic.BasicCollector": [[0, 2, 1, "", "collect"]], "miplearn.components.primal": [[1, 0, 0, "-", "actions"], [1, 0, 0, "-", "expert"], [1, 0, 0, "-", "indep"], [1, 0, 0, "-", "joint"], [1, 0, 0, "-", "mem"]], "miplearn.components.primal.actions": [[1, 1, 1, "", "EnforceProximity"], [1, 1, 1, "", "FixVariables"], [1, 1, 1, "", "PrimalComponentAction"], [1, 1, 1, "", "SetWarmStart"]], "miplearn.components.primal.actions.EnforceProximity": [[1, 2, 1, "", "perform"]], "miplearn.components.primal.actions.FixVariables": [[1, 2, 1, "", "perform"]], "miplearn.components.primal.actions.PrimalComponentAction": [[1, 2, 1, "", "perform"]], "miplearn.components.primal.actions.SetWarmStart": [[1, 2, 1, "", "perform"]], "miplearn.components.primal.expert": [[1, 1, 1, "", "ExpertPrimalComponent"]], "miplearn.components.primal.expert.ExpertPrimalComponent": [[1, 2, 1, "", "before_mip"], [1, 2, 1, "", "fit"]], "miplearn.components.primal.indep": [[1, 1, 1, "", "IndependentVarsPrimalComponent"]], "miplearn.components.primal.indep.IndependentVarsPrimalComponent": [[1, 2, 1, "", "before_mip"], [1, 2, 1, "", "fit"]], "miplearn.components.primal.joint": [[1, 1, 1, "", "JointVarsPrimalComponent"]], "miplearn.components.primal.joint.JointVarsPrimalComponent": [[1, 2, 1, "", "before_mip"], [1, 2, 1, "", "fit"]], "miplearn.components.primal.mem": [[1, 1, 1, "", "MemorizingPrimalComponent"], [1, 1, 1, "", "MergeTopSolutions"], [1, 1, 1, "", "SelectTopSolutions"], [1, 1, 1, "", "SolutionConstructor"]], "miplearn.components.primal.mem.MemorizingPrimalComponent": [[1, 2, 1, "", "before_mip"], [1, 2, 1, "", "fit"]], "miplearn.components.primal.mem.MergeTopSolutions": [[1, 2, 1, "", "construct"]], "miplearn.components.primal.mem.SelectTopSolutions": [[1, 2, 1, "", "construct"]], "miplearn.components.primal.mem.SolutionConstructor": [[1, 2, 1, "", "construct"]], "miplearn.extractors": [[0, 0, 0, "-", "AlvLouWeh2017"], [0, 0, 0, "-", "fields"]], "miplearn.extractors.AlvLouWeh2017": [[0, 1, 1, "", "AlvLouWeh2017Extractor"]], "miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor": [[0, 2, 1, "", "get_constr_features"], [0, 2, 1, "", "get_instance_features"], [0, 2, 1, "", "get_var_features"]], "miplearn.extractors.fields": [[0, 1, 1, "", "H5FieldsExtractor"]], "miplearn.extractors.fields.H5FieldsExtractor": [[0, 2, 1, "", "get_constr_features"], [0, 2, 1, "", "get_instance_features"], [0, 2, 1, "", "get_var_features"]], "miplearn": [[2, 0, 0, "-", "h5"], [2, 0, 0, "-", "io"]], "miplearn.h5": [[2, 1, 1, "", "H5File"]], "miplearn.h5.H5File": [[2, 2, 1, "", "close"], [2, 2, 1, "", "get_array"], [2, 2, 1, "", "get_bytes"], [2, 2, 1, "", "get_scalar"], [2, 2, 1, "", "get_sparse"], [2, 2, 1, "", "put_array"], [2, 2, 1, "", "put_bytes"], [2, 2, 1, "", "put_scalar"], [2, 2, 1, "", "put_sparse"]], "miplearn.io": [[2, 3, 1, "", "gzip"], [2, 3, 1, "", "read_pkl_gz"], [2, 3, 1, "", "write_pkl_gz"]], "miplearn.problems": [[3, 0, 0, "-", "binpack"], [3, 0, 0, "-", "multiknapsack"], [3, 0, 0, "-", "pmedian"], [3, 0, 0, "-", "setcover"], [3, 0, 0, "-", "setpack"], [3, 0, 0, "-", "stab"], [3, 0, 0, "-", "tsp"], [3, 0, 0, "-", "uc"], [3, 0, 0, "-", "vertexcover"]], "miplearn.problems.binpack": [[3, 1, 1, "", "BinPackData"], [3, 1, 1, "", "BinPackGenerator"], [3, 3, 1, "", "build_binpack_model_gurobipy"]], "miplearn.problems.binpack.BinPackGenerator": [[3, 2, 1, "", "generate"]], "miplearn.problems.multiknapsack": [[3, 1, 1, "", "MultiKnapsackData"], [3, 1, 1, "", "MultiKnapsackGenerator"], [3, 3, 1, "", "build_multiknapsack_model_gurobipy"]], "miplearn.problems.pmedian": [[3, 1, 1, "", "PMedianData"], [3, 1, 1, "", "PMedianGenerator"], [3, 3, 1, "", "build_pmedian_model_gurobipy"]], "miplearn.problems.setcover": [[3, 1, 1, "", "SetCoverData"]], "miplearn.problems.setpack": [[3, 1, 1, "", "SetPackData"]], "miplearn.problems.stab": [[3, 1, 1, "", "MaxWeightStableSetData"], [3, 1, 1, "", "MaxWeightStableSetGenerator"]], "miplearn.problems.tsp": [[3, 1, 1, "", "TravelingSalesmanData"], [3, 1, 1, "", "TravelingSalesmanGenerator"]], "miplearn.problems.uc": [[3, 1, 1, "", "UnitCommitmentData"], [3, 3, 1, "", "build_uc_model_gurobipy"]], "miplearn.problems.vertexcover": [[3, 1, 1, "", "MinWeightVertexCoverData"]], "miplearn.solvers": [[4, 0, 0, "-", "abstract"], [4, 0, 0, "-", "gurobi"], [4, 0, 0, "-", "learning"]], "miplearn.solvers.abstract": [[4, 1, 1, "", "AbstractModel"]], "miplearn.solvers.abstract.AbstractModel": [[4, 4, 1, "", "WHERE_CUTS"], [4, 4, 1, "", "WHERE_DEFAULT"], [4, 4, 1, "", "WHERE_LAZY"], [4, 2, 1, "", "add_constrs"], [4, 2, 1, "", "extract_after_load"], [4, 2, 1, "", "extract_after_lp"], [4, 2, 1, "", "extract_after_mip"], [4, 2, 1, "", "fix_variables"], [4, 2, 1, "", "lazy_enforce"], [4, 2, 1, "", "optimize"], [4, 2, 1, "", "relax"], [4, 2, 1, "", "set_cuts"], [4, 2, 1, "", "set_warm_starts"], [4, 2, 1, "", "write"]], "miplearn.solvers.gurobi": [[4, 1, 1, "", "GurobiModel"]], "miplearn.solvers.gurobi.GurobiModel": [[4, 2, 1, "", "add_constr"], [4, 2, 1, "", "add_constrs"], [4, 2, 1, "", "extract_after_load"], [4, 2, 1, "", "extract_after_lp"], [4, 2, 1, "", "extract_after_mip"], [4, 2, 1, "", "fix_variables"], [4, 2, 1, "", "optimize"], [4, 2, 1, "", "relax"], [4, 2, 1, "", "set_time_limit"], [4, 2, 1, "", "set_warm_starts"], [4, 2, 1, "", "write"]], "miplearn.solvers.learning": [[4, 1, 1, "", "LearningSolver"]], "miplearn.solvers.learning.LearningSolver": [[4, 2, 1, "", "fit"], [4, 2, 1, "", "optimize"]]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:function", "4": "py:attribute"}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "method", "Python method"], "3": ["py", "function", "Python function"], "4": ["py", "attribute", "Python attribute"]}, "titleterms": {"collector": [0, 5], "extractor": [0, 6], "miplearn": [0, 1, 2, 3, 4, 10], "classifi": 0, "minprob": 0, "singleclass": 0, "basic": [0, 5], "field": [0, 5], "alvlouweh2017": 0, "compon": [1, 7], "primal": [1, 7], "action": [1, 7], "expert": [1, 7], "indep": 1, "joint": [1, 7], "mem": 1, "helper": 2, "io": 2, "h5": 2, "benchmark": [3, 8], "problem": [3, 8, 11, 12, 13, 14], "binpack": 3, "multiknapsack": 3, "pmedian": 3, "setcov": 3, "setpack": 3, "stab": 3, "tsp": 3, "uc": 3, "vertexcov": 3, "solver": [4, 9], "abstract": 4, "gurobi": 4, "learn": [4, 9, 11], "train": [5, 9, 11, 12, 13, 14], "data": [5, 11, 12, 13, 14], "overview": [5, 6, 8], "hdf5": 5, "format": 5, "exampl": [5, 6, 7, 8, 9], "featur": 6, "h5fieldsextractor": 6, "alvlouweh2017extractor": 6, "memor": 7, "independ": 7, "var": 7, "bin": 8, "pack": 8, "formul": 8, "random": 8, "instanc": [8, 9, 11, 12, 13, 14], "gener": [8, 11, 12, 13, 14], "multi": 8, "dimension": 8, "knapsack": 8, "capacit": 8, "p": 8, "median": 8, "set": 8, "cover": 8, "stabl": 8, "travel": [8, 11], "salesman": [8, 11], "unit": 8, "commit": 8, "vertex": 8, "configur": 9, "solv": [9, 11, 12, 13, 14], "new": [9, 11], "complet": 9, "content": 10, "tutori": 10, "user": [10, 11], "guid": 10, "python": 10, "api": 10, "refer": 10, "author": 10, "acknowledg": 10, "cite": 10, "cut": 11, "lazi": 11, "constraint": 11, "The": [], "get": [12, 13, 14], "start": [12, 13, 14], "gurobipi": 12, "introduct": [12, 13, 14], "instal": [12, 13, 14], "model": [11, 12, 13, 14], "simpl": [12, 13, 14], "optim": [12, 13, 14], "test": [12, 13, 14], "access": [12, 13, 14], "solut": [12, 13, 14], "jump": 13, "pyomo": 14}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "nbsphinx": 4, "sphinx": 60}, "alltitles": {"Helpers": [[2, "helpers"]], "miplearn.io": [[2, "module-miplearn.io"]], "miplearn.h5": [[2, "module-miplearn.h5"]], "Example": [[7, "Example"], [5, "Example"], [5, "id1"], [6, "Example"], [6, "id1"], [8, "Example"], [8, "id3"], [8, "id6"], [8, "id9"], [8, "id12"], [8, "id15"], [8, "id18"], [8, "id21"], [8, "id24"]], "Primal Components": [[7, "Primal-Components"]], "Primal component actions": [[7, "Primal-component-actions"]], "Memorizing primal component": [[7, "Memorizing-primal-component"]], "Examples": [[7, "Examples"], [7, "id1"], [7, "id2"]], "Independent vars primal component": [[7, "Independent-vars-primal-component"]], "Joint vars primal component": [[7, "Joint-vars-primal-component"]], "Expert primal component": [[7, "Expert-primal-component"]], "MIPLearn": [[10, "miplearn"]], "Contents": [[10, "contents"]], "Tutorials": [[10, null]], "User Guide": [[10, null]], "Python API Reference": [[10, null]], "Authors": [[10, "authors"]], "Acknowledgments": [[10, "acknowledgments"]], "Citing MIPLearn": [[10, "citing-miplearn"]], "Generating training data": [[12, "Generating-training-data"], [13, "Generating-training-data"], [14, "Generating-training-data"], [11, "Generating-training-data"]], "Getting started (Gurobipy)": [[12, "Getting-started-(Gurobipy)"]], "Introduction": [[12, "Introduction"], [13, "Introduction"], [14, "Introduction"]], "Installation": [[12, "Installation"], [13, "Installation"], [14, "Installation"]], "Modeling a simple optimization problem": [[12, "Modeling-a-simple-optimization-problem"], [13, "Modeling-a-simple-optimization-problem"], [14, "Modeling-a-simple-optimization-problem"]], "Training and solving test instances": [[12, "Training-and-solving-test-instances"], [13, "Training-and-solving-test-instances"], [14, "Training-and-solving-test-instances"]], "Accessing the solution": [[12, "Accessing-the-solution"], [13, "Accessing-the-solution"], [14, "Accessing-the-solution"]], "Getting started (JuMP)": [[13, "Getting-started-(JuMP)"]], "Getting started (Pyomo)": [[14, "Getting-started-(Pyomo)"]], "Collectors & Extractors": [[0, "collectors-extractors"]], "miplearn.classifiers.minprob": [[0, "module-miplearn.classifiers.minprob"]], "miplearn.classifiers.singleclass": [[0, "module-miplearn.classifiers.singleclass"]], "miplearn.collectors.basic": [[0, "module-miplearn.collectors.basic"]], "miplearn.extractors.fields": [[0, "module-miplearn.extractors.fields"]], "miplearn.extractors.AlvLouWeh2017": [[0, "module-miplearn.extractors.AlvLouWeh2017"]], "Components": [[1, "components"]], "miplearn.components.primal.actions": [[1, "module-miplearn.components.primal.actions"]], "miplearn.components.primal.expert": [[1, "module-miplearn.components.primal.expert"]], "miplearn.components.primal.indep": [[1, "module-miplearn.components.primal.indep"]], "miplearn.components.primal.joint": [[1, "module-miplearn.components.primal.joint"]], "miplearn.components.primal.mem": [[1, "module-miplearn.components.primal.mem"]], "Benchmark Problems": [[3, "benchmark-problems"], [8, "Benchmark-Problems"]], "miplearn.problems.binpack": [[3, "module-miplearn.problems.binpack"]], "miplearn.problems.multiknapsack": [[3, "module-miplearn.problems.multiknapsack"]], "miplearn.problems.pmedian": [[3, "module-miplearn.problems.pmedian"]], "miplearn.problems.setcover": [[3, "module-miplearn.problems.setcover"]], "miplearn.problems.setpack": [[3, "module-miplearn.problems.setpack"]], "miplearn.problems.stab": [[3, "module-miplearn.problems.stab"]], "miplearn.problems.tsp": [[3, "module-miplearn.problems.tsp"]], "miplearn.problems.uc": [[3, "module-miplearn.problems.uc"]], "miplearn.problems.vertexcover": [[3, "module-miplearn.problems.vertexcover"]], "Solvers": [[4, "solvers"]], "miplearn.solvers.abstract": [[4, "module-miplearn.solvers.abstract"]], "miplearn.solvers.gurobi": [[4, "module-miplearn.solvers.gurobi"]], "miplearn.solvers.learning": [[4, "module-miplearn.solvers.learning"]], "Training Data Collectors": [[5, "Training-Data-Collectors"]], "Overview": [[5, "Overview"], [6, "Overview"], [8, "Overview"]], "HDF5 Format": [[5, "HDF5-Format"]], "Basic collector": [[5, "Basic-collector"]], "Data fields": [[5, "Data-fields"]], "Feature Extractors": [[6, "Feature-Extractors"]], "H5FieldsExtractor": [[6, "H5FieldsExtractor"]], "AlvLouWeh2017Extractor": [[6, "AlvLouWeh2017Extractor"]], "Bin Packing": [[8, "Bin-Packing"]], "Formulation": [[8, "Formulation"], [8, "id1"], [8, "id4"], [8, "id7"], [8, "id10"], [8, "id13"], [8, "id16"], [8, "id19"], [8, "id22"]], "Random instance generator": [[8, "Random-instance-generator"], [8, "id2"], [8, "id5"], [8, "id8"], [8, "id11"], [8, "id14"], [8, "id17"], [8, "id20"], [8, "id23"]], "Multi-Dimensional Knapsack": [[8, "Multi-Dimensional-Knapsack"]], "Capacitated P-Median": [[8, "Capacitated-P-Median"]], "Set cover": [[8, "Set-cover"]], "Set Packing": [[8, "Set-Packing"]], "Stable Set": [[8, "Stable-Set"]], "Traveling Salesman": [[8, "Traveling-Salesman"]], "Unit Commitment": [[8, "Unit-Commitment"]], "Vertex Cover": [[8, "Vertex-Cover"]], "Learning Solver": [[9, "Learning-Solver"]], "Configuring the solver": [[9, "Configuring-the-solver"]], "Training and solving new instances": [[9, "Training-and-solving-new-instances"], [11, "Training-and-solving-new-instances"]], "Complete example": [[9, "Complete-example"]], "User cuts and lazy constraints": [[11, "User-cuts-and-lazy-constraints"]], "Modeling the traveling salesman problem": [[11, "Modeling-the-traveling-salesman-problem"]], "Learning user cuts": [[11, "Learning-user-cuts"]]}, "indexentries": {"alvlouweh2017extractor (class in miplearn.extractors.alvlouweh2017)": [[0, "miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor"]], "basiccollector (class in miplearn.collectors.basic)": [[0, "miplearn.collectors.basic.BasicCollector"]], "h5fieldsextractor (class in miplearn.extractors.fields)": [[0, "miplearn.extractors.fields.H5FieldsExtractor"]], "minprobabilityclassifier (class in miplearn.classifiers.minprob)": [[0, "miplearn.classifiers.minprob.MinProbabilityClassifier"]], "singleclassfix (class in miplearn.classifiers.singleclass)": [[0, "miplearn.classifiers.singleclass.SingleClassFix"]], "collect() (miplearn.collectors.basic.basiccollector method)": [[0, "miplearn.collectors.basic.BasicCollector.collect"]], "fit() (miplearn.classifiers.minprob.minprobabilityclassifier method)": [[0, "miplearn.classifiers.minprob.MinProbabilityClassifier.fit"]], "fit() (miplearn.classifiers.singleclass.singleclassfix method)": [[0, "miplearn.classifiers.singleclass.SingleClassFix.fit"]], "get_constr_features() (miplearn.extractors.alvlouweh2017.alvlouweh2017extractor method)": [[0, "miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor.get_constr_features"]], "get_constr_features() (miplearn.extractors.fields.h5fieldsextractor method)": [[0, "miplearn.extractors.fields.H5FieldsExtractor.get_constr_features"]], "get_instance_features() (miplearn.extractors.alvlouweh2017.alvlouweh2017extractor method)": [[0, "miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor.get_instance_features"]], "get_instance_features() (miplearn.extractors.fields.h5fieldsextractor method)": [[0, "miplearn.extractors.fields.H5FieldsExtractor.get_instance_features"]], "get_var_features() (miplearn.extractors.alvlouweh2017.alvlouweh2017extractor method)": [[0, "miplearn.extractors.AlvLouWeh2017.AlvLouWeh2017Extractor.get_var_features"]], "get_var_features() (miplearn.extractors.fields.h5fieldsextractor method)": [[0, "miplearn.extractors.fields.H5FieldsExtractor.get_var_features"]], "miplearn.classifiers.minprob": [[0, "module-miplearn.classifiers.minprob"]], "miplearn.classifiers.singleclass": [[0, "module-miplearn.classifiers.singleclass"]], "miplearn.collectors.basic": [[0, "module-miplearn.collectors.basic"]], "miplearn.extractors.alvlouweh2017": [[0, "module-miplearn.extractors.AlvLouWeh2017"]], "miplearn.extractors.fields": [[0, "module-miplearn.extractors.fields"]], "module": [[0, "module-miplearn.classifiers.minprob"], [0, "module-miplearn.classifiers.singleclass"], [0, "module-miplearn.collectors.basic"], [0, "module-miplearn.extractors.AlvLouWeh2017"], [0, "module-miplearn.extractors.fields"], [1, "module-miplearn.components.primal.actions"], [1, "module-miplearn.components.primal.expert"], [1, "module-miplearn.components.primal.indep"], [1, "module-miplearn.components.primal.joint"], [1, "module-miplearn.components.primal.mem"], [3, "module-miplearn.problems.binpack"], [3, "module-miplearn.problems.multiknapsack"], [3, "module-miplearn.problems.pmedian"], [3, "module-miplearn.problems.setcover"], [3, "module-miplearn.problems.setpack"], [3, "module-miplearn.problems.stab"], [3, "module-miplearn.problems.tsp"], [3, "module-miplearn.problems.uc"], [3, "module-miplearn.problems.vertexcover"], [4, "module-miplearn.solvers.abstract"], [4, "module-miplearn.solvers.gurobi"], [4, "module-miplearn.solvers.learning"]], "predict() (miplearn.classifiers.minprob.minprobabilityclassifier method)": [[0, "miplearn.classifiers.minprob.MinProbabilityClassifier.predict"]], "predict() (miplearn.classifiers.singleclass.singleclassfix method)": [[0, "miplearn.classifiers.singleclass.SingleClassFix.predict"]], "set_fit_request() (miplearn.classifiers.minprob.minprobabilityclassifier method)": [[0, "miplearn.classifiers.minprob.MinProbabilityClassifier.set_fit_request"]], "set_fit_request() (miplearn.classifiers.singleclass.singleclassfix method)": [[0, "miplearn.classifiers.singleclass.SingleClassFix.set_fit_request"]], "set_predict_request() (miplearn.classifiers.minprob.minprobabilityclassifier method)": [[0, "miplearn.classifiers.minprob.MinProbabilityClassifier.set_predict_request"]], "set_predict_request() (miplearn.classifiers.singleclass.singleclassfix method)": [[0, "miplearn.classifiers.singleclass.SingleClassFix.set_predict_request"]], "enforceproximity (class in miplearn.components.primal.actions)": [[1, "miplearn.components.primal.actions.EnforceProximity"]], "expertprimalcomponent (class in miplearn.components.primal.expert)": [[1, "miplearn.components.primal.expert.ExpertPrimalComponent"]], "fixvariables (class in miplearn.components.primal.actions)": [[1, "miplearn.components.primal.actions.FixVariables"]], "independentvarsprimalcomponent (class in miplearn.components.primal.indep)": [[1, "miplearn.components.primal.indep.IndependentVarsPrimalComponent"]], "jointvarsprimalcomponent (class in miplearn.components.primal.joint)": [[1, "miplearn.components.primal.joint.JointVarsPrimalComponent"]], "memorizingprimalcomponent (class in miplearn.components.primal.mem)": [[1, "miplearn.components.primal.mem.MemorizingPrimalComponent"]], "mergetopsolutions (class in miplearn.components.primal.mem)": [[1, "miplearn.components.primal.mem.MergeTopSolutions"]], "primalcomponentaction (class in miplearn.components.primal.actions)": [[1, "miplearn.components.primal.actions.PrimalComponentAction"]], "selecttopsolutions (class in miplearn.components.primal.mem)": [[1, "miplearn.components.primal.mem.SelectTopSolutions"]], "setwarmstart (class in miplearn.components.primal.actions)": [[1, "miplearn.components.primal.actions.SetWarmStart"]], "solutionconstructor (class in miplearn.components.primal.mem)": [[1, "miplearn.components.primal.mem.SolutionConstructor"]], "before_mip() (miplearn.components.primal.expert.expertprimalcomponent method)": [[1, "miplearn.components.primal.expert.ExpertPrimalComponent.before_mip"]], "before_mip() (miplearn.components.primal.indep.independentvarsprimalcomponent method)": [[1, "miplearn.components.primal.indep.IndependentVarsPrimalComponent.before_mip"]], "before_mip() (miplearn.components.primal.joint.jointvarsprimalcomponent method)": [[1, "miplearn.components.primal.joint.JointVarsPrimalComponent.before_mip"]], "before_mip() (miplearn.components.primal.mem.memorizingprimalcomponent method)": [[1, "miplearn.components.primal.mem.MemorizingPrimalComponent.before_mip"]], "construct() (miplearn.components.primal.mem.mergetopsolutions method)": [[1, "miplearn.components.primal.mem.MergeTopSolutions.construct"]], "construct() (miplearn.components.primal.mem.selecttopsolutions method)": [[1, "miplearn.components.primal.mem.SelectTopSolutions.construct"]], "construct() (miplearn.components.primal.mem.solutionconstructor method)": [[1, "miplearn.components.primal.mem.SolutionConstructor.construct"]], "fit() (miplearn.components.primal.expert.expertprimalcomponent method)": [[1, "miplearn.components.primal.expert.ExpertPrimalComponent.fit"]], "fit() (miplearn.components.primal.indep.independentvarsprimalcomponent method)": [[1, "miplearn.components.primal.indep.IndependentVarsPrimalComponent.fit"]], "fit() (miplearn.components.primal.joint.jointvarsprimalcomponent method)": [[1, "miplearn.components.primal.joint.JointVarsPrimalComponent.fit"]], "fit() (miplearn.components.primal.mem.memorizingprimalcomponent method)": [[1, "miplearn.components.primal.mem.MemorizingPrimalComponent.fit"]], "miplearn.components.primal.actions": [[1, "module-miplearn.components.primal.actions"]], "miplearn.components.primal.expert": [[1, "module-miplearn.components.primal.expert"]], "miplearn.components.primal.indep": [[1, "module-miplearn.components.primal.indep"]], "miplearn.components.primal.joint": [[1, "module-miplearn.components.primal.joint"]], "miplearn.components.primal.mem": [[1, "module-miplearn.components.primal.mem"]], "perform() (miplearn.components.primal.actions.enforceproximity method)": [[1, "miplearn.components.primal.actions.EnforceProximity.perform"]], "perform() (miplearn.components.primal.actions.fixvariables method)": [[1, "miplearn.components.primal.actions.FixVariables.perform"]], "perform() (miplearn.components.primal.actions.primalcomponentaction method)": [[1, "miplearn.components.primal.actions.PrimalComponentAction.perform"]], "perform() (miplearn.components.primal.actions.setwarmstart method)": [[1, "miplearn.components.primal.actions.SetWarmStart.perform"]], "binpackdata (class in miplearn.problems.binpack)": [[3, "miplearn.problems.binpack.BinPackData"]], "binpackgenerator (class in miplearn.problems.binpack)": [[3, "miplearn.problems.binpack.BinPackGenerator"]], "maxweightstablesetdata (class in miplearn.problems.stab)": [[3, "miplearn.problems.stab.MaxWeightStableSetData"]], "maxweightstablesetgenerator (class in miplearn.problems.stab)": [[3, "miplearn.problems.stab.MaxWeightStableSetGenerator"]], "minweightvertexcoverdata (class in miplearn.problems.vertexcover)": [[3, "miplearn.problems.vertexcover.MinWeightVertexCoverData"]], "multiknapsackdata (class in miplearn.problems.multiknapsack)": [[3, "miplearn.problems.multiknapsack.MultiKnapsackData"]], "multiknapsackgenerator (class in miplearn.problems.multiknapsack)": [[3, "miplearn.problems.multiknapsack.MultiKnapsackGenerator"]], "pmediandata (class in miplearn.problems.pmedian)": [[3, "miplearn.problems.pmedian.PMedianData"]], "pmediangenerator (class in miplearn.problems.pmedian)": [[3, "miplearn.problems.pmedian.PMedianGenerator"]], "setcoverdata (class in miplearn.problems.setcover)": [[3, "miplearn.problems.setcover.SetCoverData"]], "setpackdata (class in miplearn.problems.setpack)": [[3, "miplearn.problems.setpack.SetPackData"]], "travelingsalesmandata (class in miplearn.problems.tsp)": [[3, "miplearn.problems.tsp.TravelingSalesmanData"]], "travelingsalesmangenerator (class in miplearn.problems.tsp)": [[3, "miplearn.problems.tsp.TravelingSalesmanGenerator"]], "unitcommitmentdata (class in miplearn.problems.uc)": [[3, "miplearn.problems.uc.UnitCommitmentData"]], "build_binpack_model_gurobipy() (in module miplearn.problems.binpack)": [[3, "miplearn.problems.binpack.build_binpack_model_gurobipy"]], "build_multiknapsack_model_gurobipy() (in module miplearn.problems.multiknapsack)": [[3, "miplearn.problems.multiknapsack.build_multiknapsack_model_gurobipy"]], "build_pmedian_model_gurobipy() (in module miplearn.problems.pmedian)": [[3, "miplearn.problems.pmedian.build_pmedian_model_gurobipy"]], "build_uc_model_gurobipy() (in module miplearn.problems.uc)": [[3, "miplearn.problems.uc.build_uc_model_gurobipy"]], "generate() (miplearn.problems.binpack.binpackgenerator method)": [[3, "miplearn.problems.binpack.BinPackGenerator.generate"]], "miplearn.problems.binpack": [[3, "module-miplearn.problems.binpack"]], "miplearn.problems.multiknapsack": [[3, "module-miplearn.problems.multiknapsack"]], "miplearn.problems.pmedian": [[3, "module-miplearn.problems.pmedian"]], "miplearn.problems.setcover": [[3, "module-miplearn.problems.setcover"]], "miplearn.problems.setpack": [[3, "module-miplearn.problems.setpack"]], "miplearn.problems.stab": [[3, "module-miplearn.problems.stab"]], "miplearn.problems.tsp": [[3, "module-miplearn.problems.tsp"]], "miplearn.problems.uc": [[3, "module-miplearn.problems.uc"]], "miplearn.problems.vertexcover": [[3, "module-miplearn.problems.vertexcover"]], "abstractmodel (class in miplearn.solvers.abstract)": [[4, "miplearn.solvers.abstract.AbstractModel"]], "gurobimodel (class in miplearn.solvers.gurobi)": [[4, "miplearn.solvers.gurobi.GurobiModel"]], "learningsolver (class in miplearn.solvers.learning)": [[4, "miplearn.solvers.learning.LearningSolver"]], "where_cuts (miplearn.solvers.abstract.abstractmodel attribute)": [[4, "miplearn.solvers.abstract.AbstractModel.WHERE_CUTS"]], "where_default (miplearn.solvers.abstract.abstractmodel attribute)": [[4, "miplearn.solvers.abstract.AbstractModel.WHERE_DEFAULT"]], "where_lazy (miplearn.solvers.abstract.abstractmodel attribute)": [[4, "miplearn.solvers.abstract.AbstractModel.WHERE_LAZY"]], "add_constr() (miplearn.solvers.gurobi.gurobimodel method)": [[4, "miplearn.solvers.gurobi.GurobiModel.add_constr"]], "add_constrs() (miplearn.solvers.abstract.abstractmodel method)": [[4, "miplearn.solvers.abstract.AbstractModel.add_constrs"]], "add_constrs() (miplearn.solvers.gurobi.gurobimodel method)": [[4, "miplearn.solvers.gurobi.GurobiModel.add_constrs"]], "extract_after_load() (miplearn.solvers.abstract.abstractmodel method)": [[4, "miplearn.solvers.abstract.AbstractModel.extract_after_load"]], "extract_after_load() (miplearn.solvers.gurobi.gurobimodel method)": [[4, "miplearn.solvers.gurobi.GurobiModel.extract_after_load"]], "extract_after_lp() (miplearn.solvers.abstract.abstractmodel method)": [[4, "miplearn.solvers.abstract.AbstractModel.extract_after_lp"]], "extract_after_lp() (miplearn.solvers.gurobi.gurobimodel method)": [[4, "miplearn.solvers.gurobi.GurobiModel.extract_after_lp"]], "extract_after_mip() (miplearn.solvers.abstract.abstractmodel method)": [[4, "miplearn.solvers.abstract.AbstractModel.extract_after_mip"]], "extract_after_mip() (miplearn.solvers.gurobi.gurobimodel method)": [[4, "miplearn.solvers.gurobi.GurobiModel.extract_after_mip"]], "fit() (miplearn.solvers.learning.learningsolver method)": [[4, "miplearn.solvers.learning.LearningSolver.fit"]], "fix_variables() (miplearn.solvers.abstract.abstractmodel method)": [[4, "miplearn.solvers.abstract.AbstractModel.fix_variables"]], "fix_variables() (miplearn.solvers.gurobi.gurobimodel method)": [[4, "miplearn.solvers.gurobi.GurobiModel.fix_variables"]], "lazy_enforce() (miplearn.solvers.abstract.abstractmodel method)": [[4, "miplearn.solvers.abstract.AbstractModel.lazy_enforce"]], "miplearn.solvers.abstract": [[4, "module-miplearn.solvers.abstract"]], "miplearn.solvers.gurobi": [[4, "module-miplearn.solvers.gurobi"]], "miplearn.solvers.learning": [[4, "module-miplearn.solvers.learning"]], "optimize() (miplearn.solvers.abstract.abstractmodel method)": [[4, "miplearn.solvers.abstract.AbstractModel.optimize"]], "optimize() (miplearn.solvers.gurobi.gurobimodel method)": [[4, "miplearn.solvers.gurobi.GurobiModel.optimize"]], "optimize() (miplearn.solvers.learning.learningsolver method)": [[4, "miplearn.solvers.learning.LearningSolver.optimize"]], "relax() (miplearn.solvers.abstract.abstractmodel method)": [[4, "miplearn.solvers.abstract.AbstractModel.relax"]], "relax() (miplearn.solvers.gurobi.gurobimodel method)": [[4, "miplearn.solvers.gurobi.GurobiModel.relax"]], "set_cuts() (miplearn.solvers.abstract.abstractmodel method)": [[4, "miplearn.solvers.abstract.AbstractModel.set_cuts"]], "set_time_limit() (miplearn.solvers.gurobi.gurobimodel method)": [[4, "miplearn.solvers.gurobi.GurobiModel.set_time_limit"]], "set_warm_starts() (miplearn.solvers.abstract.abstractmodel method)": [[4, "miplearn.solvers.abstract.AbstractModel.set_warm_starts"]], "set_warm_starts() (miplearn.solvers.gurobi.gurobimodel method)": [[4, "miplearn.solvers.gurobi.GurobiModel.set_warm_starts"]], "write() (miplearn.solvers.abstract.abstractmodel method)": [[4, "miplearn.solvers.abstract.AbstractModel.write"]], "write() (miplearn.solvers.gurobi.gurobimodel method)": [[4, "miplearn.solvers.gurobi.GurobiModel.write"]]}}) |