updated after revision

Former-commit-id: 6463f6203b

cachedir/joblib/run/GridSearchForModels/0b4e69a8baed05c0418e2d3292e0e404/output.pkl.REMOVED.git-id

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cachedir/joblib/run/GridSearchForModels/0c5f8a1f4bea8be6ae4682e53eda9c9a/metadata.json

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cachedir/joblib/run/GridSearchForModels/90f4ec7056539ba8f1ae91d2ce378613/metadata.json

@@ -1 +0,0 @@
-{"duration": 1417.6643528938293, "input_args": {"XData": "     Age  Sex  Cp  Trestbps  Chol  Fbs  Restecg  Thalach  Exang  Oldpeak  Slope  Ca  Thal\n0     63    1   3       145   233    1        0      150      0      2.3      0   0     1\n1     37    1   2       130   250    0        1      187      0      3.5      0   0     2\n2     41    0   1       130   204    0        0      172      0      1.4      2   0     2\n3     56    1   1       120   236    0        1      178      0      0.8      2   0     2\n4     57    0   0       120   354    0        1      163      1      0.6      2   0     2\n..   ...  ...  ..       ...   ...  ...      ...      ...    ...      ...    ...  ..   ...\n298   57    0   0       140   241    0        1      123      1      0.2      1   0     3\n299   45    1   3       110   264    0        1      132      0      1.2      1   0     3\n300   68    1   0       144   193    1        1      141      0      3.4      1   2     3\n301   57    1   0       130   131    0        1      115      1      1.2      1   1     3\n302   57    0   1       130   236    0        0      174      0      0.0      1   1     2\n\n[303 rows x 13 columns]", "yData": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]", "clf": "KNeighborsClassifier(algorithm='ball_tree', leaf_size=30, metric='minkowski',\n                     metric_params=None, n_jobs=None, n_neighbors=24, p=2,\n                     weights='distance')", "params": "{'n_neighbors': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], 'metric': ['chebyshev', 'manhattan', 'euclidean', 'minkowski'], 'algorithm': ['brute', 'kd_tree', 'ball_tree'], 'weights': ['uniform', 'distance']}", "eachAlgor": "'KNN'", "AlgorithmsIDsEnd": "0", "toggle": "1"}}

cachedir/joblib/run/GridSearchForModels/9147dc03a27d188e71203f91522c7d50/metadata.json

@@ -1 +0,0 @@
-{"duration": 97.14625573158264, "input_args": {"XData": "     Age  Sex  Cp  Trestbps  Chol  ...  Exang  Oldpeak  Slope  Ca  Thal\n0     63    1   3       145   233  ...      0      2.3      0   0     1\n1     37    1   2       130   250  ...      0      3.5      0   0     2\n2     41    0   1       130   204  ...      0      1.4      2   0     2\n3     56    1   1       120   236  ...      0      0.8      2   0     2\n4     57    0   0       120   354  ...      1      0.6      2   0     2\n..   ...  ...  ..       ...   ...  ...    ...      ...    ...  ..   ...\n298   57    0   0       140   241  ...      1      0.2      1   0     3\n299   45    1   3       110   264  ...      0      1.2      1   0     3\n300   68    1   0       144   193  ...      0      3.4      1   2     3\n301   57    1   0       130   131  ...      1      1.2      1   1     3\n302   57    0   1       130   236  ...      0      0.0      1   1     2\n\n[303 rows x 13 columns]", "yData": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]", "clf": "LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=0.99,\n                           solver='eigen', store_covariance=False, tol=0.0001)", "params": "{'shrinkage': [0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2, 0.21, 0.22, 0.23, 0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3, 0.31, 0.32, 0.33, 0.34, 0.35000000000000003, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41000000000000003, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47000000000000003, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.5700000000000001, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.6900000000000001, 0.7000000000000001, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.8200000000000001, 0.8300000000000001, 0.84, 0.85, 0.86, 0.87, 0.88, 0.89, 0.9, 0.91, 0.92, 0.93, 0.9400000000000001, 0.9500000000000001, 0.96, 0.97, 0.98, 0.99], 'solver': ['lsqr', 'eigen']}", "eachAlgor": "'LDA'", "AlgorithmsIDsEnd": "1996", "toggle": "1"}}

cachedir/joblib/run/GridSearchForModels/c34a92873db0bb52bd6dadf8395eeeaf/output.pkl.REMOVED.git-id

@@ -0,0 +1 @@
+1b7338506297c2c62db74cfbb6db51b002880a46

cachedir/joblib/run/GridSearchForModels/c9f7ad12fbeadc6012d9b5d28fd5d889/metadata.json

@@ -1 +0,0 @@
-{"duration": 9147.087723016739, "input_args": {"XData": "     Age  Sex  Cp  Trestbps  Chol  ...  Exang  Oldpeak  Slope  Ca  Thal\n0     63    1   3       145   233  ...      0      2.3      0   0     1\n1     37    1   2       130   250  ...      0      3.5      0   0     2\n2     41    0   1       130   204  ...      0      1.4      2   0     2\n3     56    1   1       120   236  ...      0      0.8      2   0     2\n4     57    0   0       120   354  ...      1      0.6      2   0     2\n..   ...  ...  ..       ...   ...  ...    ...      ...    ...  ..   ...\n298   57    0   0       140   241  ...      1      0.2      1   0     3\n299   45    1   3       110   264  ...      0      1.2      1   0     3\n300   68    1   0       144   193  ...      0      3.4      1   2     3\n301   57    1   0       130   131  ...      1      1.2      1   1     3\n302   57    0   1       130   236  ...      0      0.0      1   1     2\n\n[303 rows x 13 columns]", "yData": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]", "clf": "SVC(C=4.39, break_ties=False, cache_size=200, class_weight=None, coef0=0.0,\n    decision_function_shape='ovr', degree=3, gamma='scale', kernel='sigmoid',\n    max_iter=-1, probability=True, random_state=42, shrinking=True, tol=0.001,\n    verbose=False)", "params": "{'C': [0.1, 0.21000000000000002, 0.32000000000000006, 0.43000000000000005, 0.54, 0.65, 0.7600000000000001, 0.8700000000000001, 0.9800000000000001, 1.09, 1.2000000000000002, 1.3100000000000003, 1.4200000000000004, 1.5300000000000002, 1.6400000000000003, 1.7500000000000002, 1.8600000000000003, 1.9700000000000004, 2.08, 2.1900000000000004, 2.3000000000000003, 2.4100000000000006, 2.5200000000000005, 2.6300000000000003, 2.7400000000000007, 2.8500000000000005, 2.9600000000000004, 3.0700000000000003, 3.1800000000000006, 3.2900000000000005, 3.4000000000000004, 3.5100000000000007, 3.6200000000000006, 3.7300000000000004, 3.8400000000000007, 3.9500000000000006, 4.0600000000000005, 4.17, 4.28, 4.390000000000001], 'kernel': ['rbf', 'linear', 'poly', 'sigmoid']}", "eachAlgor": "'SVC'", "AlgorithmsIDsEnd": "576", "toggle": "1"}}

cachedir/joblib/run/GridSearchForModels/ce594f4bb102c09bf180541c45a7c090/output.pkl.REMOVED.git-id

@@ -0,0 +1 @@
+0e5bfe037f9f60b45885bf572d29034cefec462a

cachedir/joblib/run/GridSearchForModels/d47cb434b4b20b0c82fcf3a60162c740/metadata.json

@@ -1 +0,0 @@
-{"duration": 484.606406211853, "input_args": {"XData": "     Age  Sex  Cp  Trestbps  Chol  ...  Exang  Oldpeak  Slope  Ca  Thal\n0     63    1   3       145   233  ...      0      2.3      0   0     1\n1     37    1   2       130   250  ...      0      3.5      0   0     2\n2     41    0   1       130   204  ...      0      1.4      2   0     2\n3     56    1   1       120   236  ...      0      0.8      2   0     2\n4     57    0   0       120   354  ...      1      0.6      2   0     2\n..   ...  ...  ..       ...   ...  ...    ...      ...    ...  ..   ...\n298   57    0   0       140   241  ...      1      0.2      1   0     3\n299   45    1   3       110   264  ...      0      1.2      1   0     3\n300   68    1   0       144   193  ...      0      3.4      1   2     3\n301   57    1   0       130   131  ...      1      1.2      1   1     3\n302   57    0   1       130   236  ...      0      0.0      1   1     2\n\n[303 rows x 13 columns]", "yData": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]", "clf": "MLPClassifier(activation='tanh', alpha=0.00081, batch_size='auto', beta_1=0.9,\n              beta_2=0.999, early_stopping=False, epsilon=1e-08,\n              hidden_layer_sizes=(100,), learning_rate='constant',\n              learning_rate_init=0.001, max_fun=15000, max_iter=100,\n              momentum=0.9, n_iter_no_change=10, nesterovs_momentum=True,\n              power_t=0.5, random_state=42, shuffle=True, solver='sgd',\n              tol=0.00081, validation_fraction=0.1, verbose=False,\n              warm_start=False)", "params": "{'alpha': [1e-05, 0.00021, 0.00041000000000000005, 0.0006100000000000001, 0.0008100000000000001], 'tol': [1e-05, 0.00041000000000000005, 0.0008100000000000001], 'max_iter': [100], 'activation': ['relu', 'identity', 'logistic', 'tanh'], 'solver': ['adam', 'sgd']}", "eachAlgor": "'MLP'", "AlgorithmsIDsEnd": "1236", "toggle": "1"}}

cachedir/joblib/run/GridSearchForModels/f4d33884dc001f572bf3782e5bcfc337/metadata.json

@@ -1 +0,0 @@
-{"duration": 1548.160016298294, "input_args": {"XData": "     Age  Sex  Cp  Trestbps  Chol  ...  Exang  Oldpeak  Slope  Ca  Thal\n0     63    1   3       145   233  ...      0      2.3      0   0     1\n1     37    1   2       130   250  ...      0      3.5      0   0     2\n2     41    0   1       130   204  ...      0      1.4      2   0     2\n3     56    1   1       120   236  ...      0      0.8      2   0     2\n4     57    0   0       120   354  ...      1      0.6      2   0     2\n..   ...  ...  ..       ...   ...  ...    ...      ...    ...  ..   ...\n298   57    0   0       140   241  ...      1      0.2      1   0     3\n299   45    1   3       110   264  ...      0      1.2      1   0     3\n300   68    1   0       144   193  ...      0      3.4      1   2     3\n301   57    1   0       130   131  ...      1      1.2      1   1     3\n302   57    0   1       130   236  ...      0      0.0      1   1     2\n\n[303 rows x 13 columns]", "yData": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]", "clf": "ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None,\n                     criterion='entropy', max_depth=None, max_features='auto',\n                     max_leaf_nodes=None, max_samples=None,\n                     min_impurity_decrease=0.0, min_impurity_split=None,\n                     min_samples_leaf=1, min_samples_split=2,\n                     min_weight_fraction_leaf=0.0, n_estimators=139,\n                     n_jobs=None, oob_score=False, random_state=42, verbose=0,\n                     warm_start=False)", "params": "{'n_estimators': [60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139], 'criterion': ['gini', 'entropy']}", "eachAlgor": "'ExtraT'", "AlgorithmsIDsEnd": "2606", "toggle": "1"}}

cachedir/joblib/run/GridSearchForModels/func_code.py

@@ -1,8 +1,8 @@
 # first line: 654
 @memory.cache
 def GridSearchForModels(XData, yData, clf, params, eachAlgor, AlgorithmsIDsEnd, toggle):
-    print('toggle:',toggle)
-    print('inside')
+
+    print('loop here')
     # instantiate spark session
     spark = (   
         SparkSession    

frontend/src/components/About.vue

@@ -3,6 +3,6 @@
 <template>
   <div>
     <img src="@/assets/isovis.jpg">
-    <p>iStacking is a visualization tool created by Angelos Chatzimparmpas, member of the ISOVIS Group, Linnaeus University, Sweden.</p>
+    <p>StackGenVis is a visual analytics system created by Angelos Chatzimparmpas, member of the ISOVIS Group, Linnaeus University, Sweden.</p>
   </div>
 </template>

frontend/src/components/Provenance.vue

@@ -124,7 +124,6 @@ export default {
       plat.pixelRatio = window.devicePixelRatio || 1;
       this.platform = plat
 
-      console.log(this.data)
       for (let i = 0; i < StackInfo.length; i++) {
         if (Number(StackInfo[i]) < this.SVCModels){
           this.data.push({
@@ -227,8 +226,6 @@ export default {
 
       this.data.forEach(d => {
         if (d.column == this.counter) {
-          console.log(this.typeCounter)
-          console.log(d.type)
           d.typeIndex = this.typeCounter[d.type]++;
           d.typeColumnIndex = this.typeColumnCounter[d.column]++;
         }

run.py

@@ -653,8 +653,8 @@ memory = Memory(location, verbose=0)
 # calculating for all algorithms and models the performance and other results
 @memory.cache
 def GridSearchForModels(XData, yData, clf, params, eachAlgor, AlgorithmsIDsEnd, toggle):
-    print('toggle:',toggle)
-    print('inside')
+
+    print('loop here')
     # instantiate spark session
     spark = (   
         SparkSession    
@@ -3043,13 +3043,18 @@ def EnsembleModel(Models, keyRetrieved):
         scores.append(previousStateActive[7])
         previousState.append(previousStateActive[6])
         previousState.append(previousStateActive[7])
-    print(scores)
+    # print(scores)
     global StanceTest
     if (StanceTest):
         sclf.fit(XData, yData)
         y_pred = sclf.predict(XDataTest)
 
-        print(accuracy_score(yDataTest, y_pred))
+        # print(accuracy_score(yDataTest, y_pred))
+
+        # print(precision_score(yDataTest, y_pred, average='macro'))
+        # print(recall_score(yDataTest, y_pred, average='macro'))
+        # print(f1_score(yDataTest, y_pred, average='macro'))
+        
         print(precision_score(yDataTest, y_pred, average='weighted'))
         print(recall_score(yDataTest, y_pred, average='weighted'))
         print(f1_score(yDataTest, y_pred, average='weighted'))