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2 changed files with 7 additions and 6 deletions
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@ -81,7 +81,7 @@ sys.path.append(homedir + '/git/LSHTM_analysis/scripts/ml/ml_functions')
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sys.path
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###############################################################################
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#outdir = homedir + '/git/LSHTM_ML/output/combined/'
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outdir = homedir + '/git/LSHTM_ML/output/test/'
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outdir = homedir + '/git/LSHTM_ML/output/cg_oversample/'
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#====================
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# Import ML functions
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@ -264,7 +264,7 @@ def CMLogoSkf(cm_input_df
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, 'y_smnc_cm': y_smnc})
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#%%:Running Multiple models on LOGO with SKF
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# cD3_v2 = MultModelsCl_logo_skf(input_df = cm_X # two func were identical excpet for name
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# cD3_v2 = MultModelsCl_logo_skf(input_df = cm_X # two func were identical excpet for name
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for i in sampling_names.keys():
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print("thing:", "X"+i+"_cm", "y"+i+"_cm")
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@ -289,14 +289,13 @@ def CMLogoSkf(cm_input_df
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, blind_test_target = cm_bts_y
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, return_formatted_output = True
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, random_state = 42
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, n_jobs = os.cpu_count() # the number of jobs should equal the number of CPU cores
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, n_jobs = os.cpu_count()
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)
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outFile = output_dir + str(n_tr_genes+1) + "genes_" + tts_split_type + '_' + file_suffix + i + ".csv"
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cD3_v2.to_csv(outFile)
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# outDict.update({'X' : cm_X
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# , 'y' : cm_y
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# , 'X_bts' : cm_bts_X
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@ -1,6 +1,8 @@
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########################################################################
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# COMBINED Model
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########################################################################
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# no resampling
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time ./cm_logo_skf.py 2>&1 | tee cm_skf-$(date --iso).log
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# with resampling
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time ./combined_model_iterator.py 2>&1 | tee cm_iterator-$(date --iso).log
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