Comments (9)
For me deepchem didn't install and I have done the book till chapter 3. So are you suggesting that after chapter 3 I should keep going with chapter 6 instead ? Will it have any impact on continuity ?
Vimal
from dlwithtf.
@vimalkansal We'd suggest reading chapters 4 and 5 for the material and continuing with the code examples in chapter 6 for the time being. We are working on putting together alternative code for chapters 4, 5, and 8 that will hopefully be ready in the next few weeks, so you should be able to return to these chapters afterwards.
We are also working on fixing the core issues with DeepChem. It looks like part of the problem may stem from upstream Anaconda Python errors that are outside our control, so it may take us some time to resolve. We apologize for the inconvenience and hope you will be patient with us as we work to resolve these difficulties.
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Thanks Bharath
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i feel like the name of this book should have been: "Deep learning with tensorflow and deepchem". So many of the code examples are dependent on deepchem...... would have been good to know before i invested time and resources into this book.
from dlwithtf.
@KDFerreira Would you mind reporting any DeepChem issues you're facing to us? We'll take a look and try to resolve them as soon as possible. We apologize for the inconvenience.
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I use conda install -c conda-forge deepchem deepchem-gpu and a lot of variants of the command provided by the DeepChem website and i'm not able to install it on Linux (OS supported).
PackagesNotFoundError: The following packages are not available from current channels:
- deepchem
- deepchem-gpu
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Would you mind raising an issue on https://github.com/deepchem/deepchem? I'm not sure why you're seeing this error, but another DeepChem community member might have an idea
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I also have issues with DeepChem because anaconda is not available on my aarch64 platform and installing rdkit (which is required by deepchem) through apt-get or source is giving me so much trouble.
Honestly, this is kinda ridiculous - the examples in the book should be easily executable on any platform without additional effort not related to the actual learned subject.
from dlwithtf.
@vitcozzolino I'm sorry to hear that you're having trouble with DeepChem. We also have a pip installation for DeepChem available now. RDKit is no longer a hard dependency of the project, but will be needed for the molecular data examples.
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Related Issues (11)
- Automating hyper-parameter tuning HOT 2
- Issue running code for Chapter 07(RNN)
- Bug in ch3 example of linear regression HOT 1
- Bug in ch3 example of logistic regression HOT 1
- Enhancement for Google Colab HOT 2
- Breakage due to TF Upgrades HOT 7
- Different bug in Ch. 3 linear regression code HOT 1
- Type mismatch in ch4/fcnet_classification_tf.py HOT 1
- Python3 incompabilities
- Type mismath in ch5/tox21_rf.py under python3
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