package not predicting about lazypredict

[shankarpandala]

@andamchako What are the datatypes of you input ?

[Tarrannum]

I am facing the same issue, the dtypes selected are int64 and float64

[shankarpandala]

I am facing the same issue, the dtypes selected are int64 and float64

Can you show any reproducible example ?

[AbhiPawar5]

Hi @shankarpandala, Thanks for creating such an amazing package!
I have encountered the same issue mentioned above - AttributeError: select_dtypes not found

Environment : Google Colab

• Python - 3.7.11
• lazypredict==0.2.9

Objective : Text classification using CountVectorizer and Tfidf, target label - 0 or 1

Sample code :

sentences = df[['cleaned_text']].values
y = df['label'].values


sentences_train, sentences_test, y_train, y_test = train_test_split(sentences, y, 
                                                                    test_size=0.25, random_state=1000)

#BOW
count_vect = CountVectorizer(ngram_range=(1, 1))
count_vect.fit(sentences_train.ravel())

X_train = count_vect.fit_transform(sentences_train.ravel())
X_test  = count_vect.transform(sentences_test.ravel())

import lazypredict
from lazypredict.Supervised import LazyClassifier
clf = LazyClassifier(verbose=0, ignore_warnings=True, custom_metric=None)
models,predictions = clf.fit(X_train, X_test, y_train, y_test)

[jdvala]

Hi @AbhiPawar5 I have created a package inspired by lazypredict for text classification. Please check it out, comments and suggestions are welcome
https://github.com/jdvala/lazytext