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Showing posts with the label Sklearn Pandas

Sklearn Stratified Sampling Based On A Column

I have a fairly large CSV file containing amazon review data which I read into a pandas data frame.… Read more Sklearn Stratified Sampling Based On A Column

Number Of Features Of The Model Must Match The Input. Model N_features Is 40 And Input N_features Is 38

i am getting this error.please give me any suggestion to resolve it.here is my code.i am taking tra… Read more Number Of Features Of The Model Must Match The Input. Model N_features Is 40 And Input N_features Is 38

Pd.get_dummies Dataframe Same Size When Sparse = True As When Sparse = False

I have a dataframe with several string columns that I want to convert to categorical data so that I… Read more Pd.get_dummies Dataframe Same Size When Sparse = True As When Sparse = False

Change X Labels In A Python Sklearn Partial Dependence Plot

Hi used normalized data for fitting a GradientBoostingRegressor and plotted the partial dependecies… Read more Change X Labels In A Python Sklearn Partial Dependence Plot

ValueError: Cannot Have Number Of Splits N_splits=3 Greater Than The Number Of Samples: 1

I am trying this training modeling using train_test_split and a decision tree regressor: import skl… Read more ValueError: Cannot Have Number Of Splits N_splits=3 Greater Than The Number Of Samples: 1