Thanks for the wonderful resource. I'm having a few issues with Sklearn models. Most of them work fine but I get the following error only with GaussianProcessClassifier, KNeighborsClassifier, MLPClassifier and QuadraticDiscriminantAnalysis (i.e., RandomForestClassifier works fine and gives the expected output, for example)
TypeError Traceback (most recent call last)
/tmp/ipykernel_29886/3380587234.py in <cell line: 2>()
1 model = dc.models.SklearnModel(GaussianProcessClassifier())
----> 2 model.fit(train_dataset)
3 model.predict(test_dataset)
~/anaconda3/envs/tensorflow2_p38/lib/python3.8/site-packages/deepchem/models/sklearn_models/sklearn_model.py in fit(self, dataset)
109 # Some scikit-learn models don't use weights.
110 if self.use_weights:
--> 111 self.model.fit(X, y, w)
112 return
113 self.model.fit(X, y)
TypeError: fit() takes 3 positional arguments but 4 were givenAny ideas what's going wrong here?
3 replies
I would like to use the USPTO data base, but when I wirte the line:
tasks, datasets, transformers = dc.molnet.load_uspto(featurizer='RxnFeaturizer', splitter='random')
I receive the error:
NameError: name 'RobertaTokenizerFast' is not defined
Anyone have an idea how to solve this?
pip install transformers
from transformers import RobertaTokenizerFast, BatchEncoding, BertTokenizer
from tokenizers import Encoding
from tokenizers import Encoding
I work at Google Colab
Now, I understood that I need to install some virtual environment to work with USPTO database, for Google Colab. There are no hints about this in "https://deepchem.readthedocs.io/"
Does anyone here have any tips?
Does anyone here have any tips?
Hey, that does not seem to be necessary. Here is a colab notebook https://colab.research.google.com/drive/14DEzysC0rLYysC-9bAh4l-W-zCwg6tcw?usp=sharing where I demonstrate how to use it starting from scratch.
If you still have issues with using it, you could share your notebook with me.
now it works!
I'm waiting for someone to let me in. Time - Thursday 7.30 PM PST. Friday 9.00 AM IST
OH is at 7:00 pm PST, the developer call is at 7:30 pm PST
I think you may have gotten the calls mixed up, sorry!
There will be OH tomorrow at 9:00am PST / 10:30pm IST
Can you make it then?
Ok. I'll mail you to add me to OH hours meeting. Otherwise I'll still be confused.
Are there anyone who encountered the same?
I figured it out by following this - https://scikit-learn.org/stable/developers/advanced_installation.html#building-from-source