Ankit Pal

I was facing same issue so I wrote detailed tutorial on that , check it out this notebook how to Use Pre-trained word_embedding in Tensorflow https://github.com/monk1337/word_embedding-in-tensorflow/blob/master/Use%20Pre-trained%20word_embedding%20in%20Tensorflow.ipynb

@ccdv-ai That's helpful; I was checking the repo; excellent work! It would be great if you could provide a simple working classification example of colab?

Just replace data.py 138 with this line : ``` def __init__(self, out_rows, out_cols, data_path = "./data/train/image", label_path = "./data/train/label", test_path = "./data/test", npy_path = "./data/npydata/", img_type = "tif"): ``` Then...

Have you replaced all the path same as I suggested?

Any update ? Can someone provide working example , I am getting same error: `ReadonlyError: PES.learning_rate: learning_rate is read-only and cannot be changed `

Any update on this issue?

@sajithalapati Please provide a clear explanation where you are facing the issue. There is no screenshot attached in your comment.

@sajidaraz @sarahwie Have you found the solution?

@sh1ng Can you please take a look into this, https://github.com/h2oai/h2o4gpu/issues/860

I had to set solver = 'lbfgs' in clf_sklearn = linear_model.LogisticRegression()