self.dim = len(next(iter(word2vec.values()))) return selfX_val_vectors_w2v = modelw.transform(X_test_tok)Dimension: 100 5 # converting text to numerical data using Word2Vec
----> 6 X_trai
我看过一些关于使用Pipeline vs PipelineModel的帖子,但在这种情况下,它只是一个回归对象,我不能用PipelineModel加载它。model = GTBRegressor.load(model_path)'pyspark.ml.regression.GBTRegressor' 但是当我调用model.transform(test_df)时,我会得到 AttributeError: 'GBTRegressor' object has no attribute '