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LLEPE
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commented out skopt in optimizers

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pull/1/head
titusquah 5 years ago
parent 159a5c8140
commit cab58fda25
2 changed files with 32 additions and 31 deletions
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29
.idea/workspace.xml
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@ -2,15 +2,8 @@
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<component name="ChangeListManager">
<list default="true" id="f4439dc0-6756-4612-8f7d-596d8949f300" name="Default Changelist" comment="">
<change afterPath="$PROJECT_DIR$/data/csvs/may_pitzer_params.csv" afterDir="false" />
<change afterPath="$PROJECT_DIR$/data/csvs/zeroes_removed_PC88A_HCL_NdPrCeLaDySmY.csv" afterDir="false" />
<change afterPath="$PROJECT_DIR$/data/xmls/PC88A_HCL_NdPrCeLaDySmY_w_pitzer.xml" afterDir="false" />
<change afterPath="$PROJECT_DIR$/docs/Examples/iterative_fitter.py" afterDir="false" />
<change afterPath="$PROJECT_DIR$/llepe/objectives.py" afterDir="false" />
<change afterPath="$PROJECT_DIR$/llepe/optimizers.py" afterDir="false" />
<change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
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@ -269,7 +262,14 @@
<option name="project" value="LOCAL" />
<updated>1594739749122</updated>
</task>
<option name="localTasksCounter" value="14" />
<task id="LOCAL-00014" summary="added example file to do iterative optimization">
<created>1594767749286</created>
<option name="number" value="00014" />
<option name="presentableId" value="LOCAL-00014" />
<option name="project" value="LOCAL" />
<updated>1594767749286</updated>
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<component name="Vcs.Log.Tabs.Properties">
@ -293,7 +293,8 @@
<MESSAGE value="Edited parity plot to allow color to represent 3rd dimension. Still need to improve colorbar axis name." />
<MESSAGE value="updated to LLEPE" />
<MESSAGE value="fixed setup file by changing LLEPE to llepe" />
<option name="LAST_COMMIT_MESSAGE" value="fixed setup file by changing LLEPE to llepe" />
<MESSAGE value="added example file to do iterative optimization" />
<option name="LAST_COMMIT_MESSAGE" value="added example file to do iterative optimization" />
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@ -313,11 +314,11 @@
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@ -367,11 +368,11 @@
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34
llepe/optimizers.py
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@ -1,6 +1,6 @@
import scipy.optimize as scipy_opt
from scipy.optimize import minimize
import skopt
# import skopt
def dual_anneal_optimizer(objective, x_guess):
bounds = [(1e-1, 1e1)] * len(x_guess)
@ -21,19 +21,19 @@ def diff_evo_optimizer(objective, x_guess):
return est_parameters, res.fun
def forest_lbfgsb_optimizer(objective, x_guess):
x_guess = list(x_guess)
bounds = [(1e-1, 1e1)]*len(x_guess)
bounds[1] = (1e-1, 2)
res = skopt.forest_minimize(objective,
bounds,
random_state=1,
acq_func='LCB',
n_random_starts=30,
x0=x_guess,
xi=1e-4)
x_guess = res.x
optimizer_kwargs = {"method": 'l-bfgs-b',
"bounds": bounds}
res = minimize(objective, x_guess, **optimizer_kwargs)
return res.x, res.fun
# def forest_lbfgsb_optimizer(objective, x_guess):
# x_guess = list(x_guess)
# bounds = [(1e-1, 1e1)]*len(x_guess)
# bounds[1] = (1e-1, 2)
# res = skopt.forest_minimize(objective,
# bounds,
# random_state=1,
# acq_func='LCB',
# n_random_starts=30,
# x0=x_guess,
# xi=1e-4)
# x_guess = res.x
# optimizer_kwargs = {"method": 'l-bfgs-b',
# "bounds": bounds}
# res = minimize(objective, x_guess, **optimizer_kwargs)
# return res.x, res.fun

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