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Showing posts with the label Machine Learning

Confusion Matrix And Classification Report Of Stratifiedkfold

I am using StratifiedKFold to checking the performance of my classifier. I have two classes and I t… Read more Confusion Matrix And Classification Report Of Stratifiedkfold

Very Large Loss Values When Training Multiple Regression Model In Keras

I was trying to build a multiple regression model to predict housing prices using the following fea… Read more Very Large Loss Values When Training Multiple Regression Model In Keras

Typeerror: Fit_generator() Got An Unexpected Keyword Argument 'nb_val_samples'

I am trying to make a handwriting classifier by referencing the article: https://github.com/priya-d… Read more Typeerror: Fit_generator() Got An Unexpected Keyword Argument 'nb_val_samples'

Typeerror When Training Tensorflow Random Forest Using Tensorforestestimator

I get a TypeError when attempting to train an Tensorflow Random Forest using TensorForestEstimator.… Read more Typeerror When Training Tensorflow Random Forest Using Tensorforestestimator

Keras Image Data Generator .flow_from_directory(directory) Unify/combine Classes

I am using Python with Keras and ImageDataGenerator to generate images from directory. I have about… Read more Keras Image Data Generator .flow_from_directory(directory) Unify/combine Classes

Group By And Fill Missing Datetime Values

What I'm just trying is to group a Pandas Dataframe by contract and date, and fill missing date… Read more Group By And Fill Missing Datetime Values

Specific Number Of Test/train Size For Each Class In Sklearn

Data: import pandas as pd data = pd.DataFrame({'classes':[1,1,1,2,2,2,2],'b':[3,4,5… Read more Specific Number Of Test/train Size For Each Class In Sklearn

How To Add A Feature To A Vectorized Data Set?

I want to write a Naive Base text classificator. Because sklearn does not accept 'text form… Read more How To Add A Feature To A Vectorized Data Set?