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Python 2021-10-27 18:39:11
word embeddings sklearn
from sklearn.linear_model import LogisticRegresion from zeugma.embeddings import EmbeddingTransformer glove = EmbeddingTransformer('glove') x_train = glove.transform(corpus_train) model = LogisticRegression() model.fit(x_train, y_train) x_test = glove.... Add solution -
Python 2021-10-07 19:29:04
word embedding
from sklearn.linear_model import LogisticRegresion from zeugma.embeddings import EmbeddingTransformer glove = EmbeddingTransformer('glove') x_train = glove.transform(corpus_train) model = LogisticRegression() model.fit(x_train, y_train) x_test = glove.... Add solution