60 lines
1.2 KiB
Markdown
60 lines
1.2 KiB
Markdown
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# Xlswriter
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```
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Import xlswriter
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#create file (workbook) and worksheet
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outWorkbook = xlsxwriter.Workbook("out.xlsx")
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outSheet = outWorkbook.add_worksheet()
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#declare data
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Names = ["Oklahoma", "Non", "Mary"]
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Values = [70,80,90]
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#write headers
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For item in range(len(names)):
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outSheet.write(x, y
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outSheet.write("A1", "ANMES)
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outSheet.write("B1", "Scores")
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#declare data to file
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outSheet.write("
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outWorkbook.close()
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```
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Sci- kit Learn & keras:
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```
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# create a function that returns a model, taking as parameters things you
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# want to verify using cross-valdiation and model selection
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def create_model(optimizer='adagrad',
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kernel_initializer='glorot_uniform',
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dropout=0.2):
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model = Sequential()
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model.add(Dense(64,activation='relu',kernel_initializer=kernel_initializer))
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model.add(Dropout(dropout))
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model.add(Dense(1,activation='sigmoid',kernel_initializer=kernel_initializer))
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model.compile(loss='binary_crossentropy',optimizer=optimizer, metrics=['accuracy'])
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return model
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# wrap the model using the function you created
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clf = KerasRegressor(build_fn=create_model,verbose=0)
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# just create the pipeline
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pipeline = Pipeline([
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('clf',clf)
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])
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pipeline.fit(X_train, y_train)
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```
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