|
+-+--+
Why am I getting the wrong predictions?
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og_loss(w,x)))
> log_loss=data_predicted_df.map(lambda x:x[1]).mean()
> print log_loss
>
>
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:(sigmoid_log_loss(w,x)))
log_loss=data_predicted_df.map(lambda x:x[1]).mean()
print log_loss
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Sent: Thursday, October 13, 2016 3:45 PM
To: dev@spark.apache.org
Subject: Regularized Logistic regression
Hello, I am trying to solve a problem using regularized logistic regression
in spark. I am using the model created by LogisticRegression():
lr=LogisticRegression(regParam=10.0,maxIter=10
Hello, I am trying to solve a problem using regularized logistic regression
in spark. I am using the model created by LogisticRegression():
lr=LogisticRegression(regParam=10.0,maxIter=10,standardization=True)
model=lr.fit(data_train_df)
data_predict_with_model=model.transform(data_test_df
