tanu/ML_AI_training
1
0
Fork 0
Code Issues Pull requests Releases Wiki Activity

added file containing model names and hyperaprams to run for all models inc FS

Browse source
This commit is contained in:
Tanushree Tunstall 2022-05-24 09:14:41 +01:00
parent 9c07ad3ce8
commit 5d6dccfc09
6 changed files with 536 additions and 299 deletions
Download patch file Download diff file Expand all files Collapse all files

38
UQ_FS_fn_CALL.py
View file

@ -6,9 +6,27 @@ Created on Tue May 24 08:11:05 2022
@author: tanu
"""
# my function
#import fsgs from UQ_FS_fn
fsgs(input_df = X
, target = y
, param_gridLd = param_grid_abc
, blind_test_df = X_bts
, blind_test_target = y_bts
, estimator = AdaBoostClassifier(**rs)
, var_type = 'mixed')
ds_lrD = fsgs(input_df = X
, target = y
, param_gridLd = param_grid_lr
, blind_test_df = X_bts
, blind_test_target = y_bts
, estimator = LogisticRegression(**rs)
, var_type = 'mixed')
import fsgs from
fsgs(X,y,param_gridLd=param_grid_abc, blind_test_df = X_bts, estimator=AdaBoostClassifier(**rs), var_type = 'mixed')
@ -17,13 +35,13 @@ fsgs(X,y,param_gridLd=param_grid_abc, blind_test_df = X_bts, estimator=AdaBoostC
# Write final output file
# https://stackoverflow.com/questions/19201290/how-to-save-a-dictionary-to-a-file
#========================================
#output final dict as a json
outFile = 'LR_FS.json'
with open(outFile, 'w') as f:
f.write(json.dumps(output_modelD,cls=NpEncoder))
# #output final dict as a json
# outFile = 'LR_FS.json'
# with open(outFile, 'w') as f:
# f.write(json.dumps(output_modelD,cls=NpEncoder))
# read json
file = 'LR_FS.json'
with open(file, 'r') as f:
data = json.load(f)
# # read json
# file = 'LR_FS.json'
# with open(file, 'r') as f:
# data = json.load(f)
##############################################################################