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b/cachedir/joblib/run/estimator/f1d92e5f2a3bd05ecb2416c00ab93942/output.pkl index c69c0dc..799bcd5 100644 Binary files a/cachedir/joblib/run/estimator/f1d92e5f2a3bd05ecb2416c00ab93942/output.pkl and b/cachedir/joblib/run/estimator/f1d92e5f2a3bd05ecb2416c00ab93942/output.pkl differ diff --git a/cachedir/joblib/run/estimator/f4424e7e031a773cea1548224ffc9bc5/metadata.json b/cachedir/joblib/run/estimator/f4424e7e031a773cea1548224ffc9bc5/metadata.json deleted file mode 100644 index 8d59875..0000000 --- a/cachedir/joblib/run/estimator/f4424e7e031a773cea1548224ffc9bc5/metadata.json +++ /dev/null @@ -1 +0,0 @@ -{"duration": 12.92500615119934, "input_args": {"n_estimators": "78.05929830372413", "eta": "0.26819361491123006", "max_depth": "8.416776430272158", "subsample": "0.9282741702875538", "colsample_bytree": "0.8650884194092069"}} \ No newline at end of file diff --git a/cachedir/joblib/run/estimator/f4424e7e031a773cea1548224ffc9bc5/output.pkl b/cachedir/joblib/run/estimator/f4424e7e031a773cea1548224ffc9bc5/output.pkl deleted file mode 100644 index 716aa75..0000000 Binary files a/cachedir/joblib/run/estimator/f4424e7e031a773cea1548224ffc9bc5/output.pkl and /dev/null differ diff --git a/cachedir/joblib/run/estimator/f636511a768ea642182097d47d727cb3/metadata.json b/cachedir/joblib/run/estimator/f636511a768ea642182097d47d727cb3/metadata.json index 4e95086..5e0afee 100644 --- a/cachedir/joblib/run/estimator/f636511a768ea642182097d47d727cb3/metadata.json +++ b/cachedir/joblib/run/estimator/f636511a768ea642182097d47d727cb3/metadata.json @@ -1 +1 @@ -{"duration": 14.425058126449585, "input_args": {"n_estimators": "122.21742728992572", "eta": "0.06452090304204987", "max_depth": "11.197056874649611", "subsample": "0.941614515559209", "colsample_bytree": "0.8311989040672406"}} \ No newline at end of file +{"duration": 4.091923952102661, "input_args": {"n_estimators": "122.21742728992572", "eta": "0.06452090304204987", "max_depth": "11.197056874649611", "subsample": "0.941614515559209", "colsample_bytree": "0.8311989040672406"}} \ No newline at end of file diff --git a/cachedir/joblib/run/estimator/f636511a768ea642182097d47d727cb3/output.pkl b/cachedir/joblib/run/estimator/f636511a768ea642182097d47d727cb3/output.pkl index c69c0dc..b439155 100644 Binary files a/cachedir/joblib/run/estimator/f636511a768ea642182097d47d727cb3/output.pkl and b/cachedir/joblib/run/estimator/f636511a768ea642182097d47d727cb3/output.pkl differ diff --git a/cachedir/joblib/run/estimator/func_code.py b/cachedir/joblib/run/estimator/func_code.py index 600fc8c..78615db 100644 --- a/cachedir/joblib/run/estimator/func_code.py +++ b/cachedir/joblib/run/estimator/func_code.py @@ -1,8 +1,8 @@ -# first line: 541 +# first line: 586 @memory.cache def estimator(n_estimators, eta, max_depth, subsample, colsample_bytree): # initialize model - print('loopingVehicle') + print('loopingNew') n_estimators = int(n_estimators) max_depth = int(max_depth) model = XGBClassifier(n_estimators=n_estimators, eta=eta, max_depth=max_depth, subsample=subsample, colsample_bytree=colsample_bytree, n_jobs=-1, random_state=RANDOM_SEED, silent=True, verbosity = 0, use_label_encoder=False) diff --git a/cachedir/joblib/run/estimatorFeatureSelection/5325ae9ab4d892e28c2fd6154fcfbcb9/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/5325ae9ab4d892e28c2fd6154fcfbcb9/output.pkl new file mode 100644 index 0000000..43a9490 Binary files /dev/null and b/cachedir/joblib/run/estimatorFeatureSelection/5325ae9ab4d892e28c2fd6154fcfbcb9/output.pkl differ diff --git a/cachedir/joblib/run/estimatorFeatureSelection/b9f18063a956e60963835da31891e04a/metadata.json b/cachedir/joblib/run/estimatorFeatureSelection/b9f18063a956e60963835da31891e04a/metadata.json new file mode 100644 index 0000000..1d98437 --- /dev/null +++ b/cachedir/joblib/run/estimatorFeatureSelection/b9f18063a956e60963835da31891e04a/metadata.json @@ -0,0 +1 @@ +{"duration": 48.241634130477905, "input_args": {"Data": " F1 F2 F3 F4 F5 F6 F7 F8 F9 F10 F11 F12 F13 F14 ... F28 F29 F30 F31 F32 F33 F34 F35 F36 F37 F38 F39 F40 F41\n0 1.185 9.085 0 0 2.263 3 0 3.642 0.000 0 1 9.902 46.7 1 ... 0 2 0 0.000 1 0 0 0.014 0 4.054 0 0 0 0\n1 0.000 8.179 2 0 2.194 0 6 3.526 0.000 6 0 10.054 35.1 0 ... 0 0 0 0.000 2 0 0 0.000 0 3.489 0 4 0 0\n2 0.762 8.297 0 3 2.424 0 0 3.339 21.884 0 0 10.226 42.1 0 ... 0 0 8 -0.686 3 0 0 0.004 0 3.693 0 0 0 0\n3 1.747 9.673 0 2 2.690 23 0 4.645 9.855 0 1 12.353 31.6 0 ... 0 0 2 -4.617 0 0 11 0.000 0 3.993 0 0 0 1\n4 1.824 9.825 0 2 2.700 27 0 4.795 9.894 0 1 12.519 31.8 0 ... 0 0 2 -4.724 0 0 13 0.000 0 4.005 0 0 0 1\n.. ... ... .. .. ... .. .. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n832 1.125 7.878 0 1 2.136 0 0 2.990 0.000 0 0 9.311 43.8 0 ... 0 1 2 0.000 1 0 0 0.045 0 3.573 0 0 0 0\n833 1.187 8.046 1 1 2.222 0 2 3.105 0.000 2 0 9.668 38.9 0 ... 0 2 2 0.000 1 0 0 -0.025 0 3.666 0 2 0 0\n834 0.625 8.901 0 2 2.499 0 0 3.745 24.203 0 0 10.681 58.3 0 ... 0 0 8 -0.128 6 0 0 0.000 0 3.942 0 0 0 0\n835 3.866 8.778 0 6 2.361 0 0 4.201 11.747 0 1 10.735 32.4 0 ... 0 0 9 -0.347 1 0 0 0.000 0 3.497 0 0 0 0\n836 3.706 8.680 0 6 2.361 0 0 4.127 11.724 0 1 10.694 31.4 0 ... 0 0 9 -0.338 1 0 0 0.000 0 3.497 0 0 0 0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n colsample_bynode=1, colsample_bytree=0.8702434039276976,\n eta=0.2593099998788648, gamma=0, gpu_id=-1,\n importance_type='gain', interaction_constraints='',\n learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n min_child_weight=1, missing=nan, monotone_constraints='()',\n n_estimators=188, n_jobs=12, num_parallel_tree=1,\n probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n tree_method='exact', use_label_encoder=False,\n validate_parameters=1, verbosity=0)"}} \ No newline at end of file diff --git a/frontend/src/components/Main.vue b/frontend/src/components/Main.vue index 096a8f3..c8888eb 100755 --- a/frontend/src/components/Main.vue +++ b/frontend/src/components/Main.vue @@ -477,7 +477,7 @@ export default Vue.extend({ EventBus.$emit('SlidersCall') this.keySlider = false } - //EventBus.$emit('ConfirmDataSet') // REMOVE THAT! + EventBus.$emit('ConfirmDataSet') // REMOVE THAT! } else { EventBus.$emit('dataSpace', this.correlResul) EventBus.$emit('quad', this.correlResul) diff --git a/run.py b/run.py index d30e3bf..b53c9b2 100644 --- a/run.py +++ b/run.py @@ -312,14 +312,6 @@ def retrieveFileName(): DataResultsRaw.append(item) DataRawLength = len(DataResultsRaw) - DataResultsRawTest = [] - if (StanceTest): - for index, item in enumerate(CollectionDBTest): - item['_id'] = str(item['_id']) - item['InstanceID'] = index - DataResultsRawTest.append(item) - DataRawLengthTest = len(DataResultsRawTest) - DataResultsRawTest = [] DataResultsRawExternal = [] if (StanceTest): @@ -554,6 +546,8 @@ def dataSetSelection(): OrignList = keepOriginalFeatures.columns.values.tolist() XData.columns = ['F'+str(idx+1) for idx, col in enumerate(XData.columns)] + XDataTest.columns = ['F'+str(idx+1) for idx, col in enumerate(XDataTest.columns)] + XDataExternal.columns = ['F'+str(idx+1) for idx, col in enumerate(XDataExternal.columns)] global XDataStored, yDataStored XDataStored = XData.copy() @@ -586,7 +580,7 @@ def create_global_function(): @memory.cache def estimator(n_estimators, eta, max_depth, subsample, colsample_bytree): # initialize model - print('loopingVehicle') + print('loopingNew') n_estimators = int(n_estimators) max_depth = int(max_depth) model = XGBClassifier(n_estimators=n_estimators, eta=eta, max_depth=max_depth, subsample=subsample, colsample_bytree=colsample_bytree, n_jobs=-1, random_state=RANDOM_SEED, silent=True, verbosity = 0, use_label_encoder=False) @@ -793,7 +787,7 @@ def executeModel(exeCall, flagEx, nodeTransfName): num_cores = multiprocessing.cpu_count() inputsSc = ['accuracy','precision_weighted','recall_weighted'] - print(XData) + #print(XData) flat_results = Parallel(n_jobs=num_cores)(delayed(solve)(estimator,XData,yData,crossValidation,item,index) for index, item in enumerate(inputsSc)) scoresAct = [item for sublist in flat_results for item in sublist] @@ -831,19 +825,18 @@ def executeModel(exeCall, flagEx, nodeTransfName): else: scores.append(0) + #print(scores) + global StanceTest if (StanceTest): - sclf.fit(XData, yData) - y_pred = sclf.predict(XDataTest) + y_pred = estimator.predict(XDataTest) print('Test data set') print(classification_report(yDataTest, y_pred)) - y_pred = sclf.predict(XDataExternal) + y_pred = estimator.predict(XDataExternal) print('External data set') print(classification_report(yDataExternal, y_pred)) - print(scores) - return 'Everything Okay' @app.route('/data/RequestBestFeatures', methods=["GET", "POST"]) @@ -2044,7 +2037,7 @@ def CompareFunPy(): columnsKeep.append(columnsKeepID[2]+'/'+columnsKeepID[1]+'/'+columnsKeepID[0]) else: pass - print(XDataGen) + #print(XDataGen) XDataGen = XDataGen.replace([np.inf, -np.inf], np.nan) XDataGen = XDataGen.fillna(0) featureCompareData = estimatorFeatureSelection(XDataGen, estimator)