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added examples

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This commit is contained in:
Tanushree Tunstall 2022-07-07 17:46:06 +01:00
parent f57f25f47a
commit 3e18193a36
1 changed files with 15 additions and 3 deletions
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18
scripts/ml/dummy_classifier.py
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@ -12,17 +12,29 @@ from sklearn.dummy import DummyClassifier
X_eg = np.array([-1, 1, 1, 1]) X_eg = np.array([-1, 1, 1, 1])
y_eg = np.array([0, 1, 1, 1]) y_eg = np.array([0, 1, 1, 1])
dummy_clf = DummyClassifier(strategy="most_frequent") dummy_clf = DummyClassifier(strategy="most_frequent")
dummy_clf = DummyClassifier(strategy="stratified")
dummy_clf = DummyClassifier(strategy="stratified")
dummy_clf.fit(X_eg, y_eg) dummy_clf.fit(X_eg, y_eg)
DummyClassifier(strategy='most_frequent') #DummyClassifier(strategy='most_frequent')
dummy_clf.predict(X_eg) dummy_clf.predict(X_eg)
np.array([1, 1, 1, 1]) dummy_clf.predict(np.array([1,1,1,1,1,1,1,1,1,1]))
dummy_clf.predict_proba(X_eg)
dummy_clf.score(X_eg, y_eg) dummy_clf.score(X_eg, y_eg)
0.75 0.75
dummy_clf.matthews_corrcoef(X_eg, y_eg) df2['X']
dummy_clf.fit(df2['X'], df2['y'])
dummy_clf.predict(df2['X'])
dummy_clf.predict_proba(df2['X'])
ypred = dummy_clf.predict(df2['X'])
dummy_clf.score(df2['X'], df2['y'])
confusion_matrix(df2['y'], ypred)
matthews_corrcoef(df2['y'], ypred)
#%% #%%
df['dst_mode'] df['dst_mode']
y_all_tt = df.loc[:,'dst'] y_all_tt = df.loc[:,'dst']