I am new to RL and wanted to test some examples about it.
One of the examples is stock management problem and I wanted to run "rlpolicy_train.py" on google Colab.
The link for example:
https://github.com/t-wolfeadam/Alpyne/tree/main/examples/Stock%20Management%20Game
It seems that there is an error in Alpyne Library and I can't understand what is the meaning of this error and how I can fix it.
The screenshot of the error has been attached.
I would appreciate it if anyone can help.
Related
I am using Pagesus package to analyze my single cell RNA sequencing data. I have encountered the following error using the Pegasus package for single cell analysis. The function that is giving me the error seems to be:
highly_variable_features(data, consider_batch=True)
and the error is
TypeError: highly_variable_features() got an unexpected keyword argument 'consider_batch'. after executing
I am very novice with using python and this package. I haven't been able to find any explanation when looking through Github and Pegasus package tutorials.
I appreciate your advice on this
Regards,
the pagesus docs for this function: highly_variable_features do not mention keyword/parameter you passed in and thats how you getting that error.
Please look at this docs:
https://pegasus.readthedocs.io/en/stable/api/pegasus.highly_variable_features.html?highlight=highly_variable_features
You should read docs more carefully, and try to learn basics Errors in Python and where they come from. This will help in the future to solve errors like this.
I am trying to run this code file using google colab. Although I am getting some of the outputs but an error is showing up
AttributeError: module 'tensorflow._api.v2.train' has no attribute 'RMSPropOptimizer'
I looked this problem up on stack overflow like most problems I face but there's no solution. Someone, please help me understand what's wrong with the code. I am completely new to TensorFlow.
NOTE: I would've pasted the whole code here but it's a 1400+ line code so I directly hyperlinked the file as people might get annoyed and moreover, by doing so this post will get very long. But if needed, I can edit the post and paste the whole code here.
The correct name is RMSprop and its located under tf.keras.optimizers. Therefore, please replace
optimizer=tf.train.RMSPropOptimizer(1e-4)
with
optimizer=tf.keras.optimizers.RMSprop(1e-4)
TensorFlow version: v2.5.0
Sources and more info:
TensorFlow docs
Keras example
GitHub issue comment
Similar question on StackOverflow
I was practicing some project from Kaggle notebook which is machine learning related code. and i am facing problem at one part. the error is NameError: name 'ImageList' is not defined. the Kaggle notebook link is this and the cell link is this. How can i fix it.
If you are getting this error even after defining the ImageList, Run the default first cell in the kaggle or make sure that U have run all the cells.
Even I faced the same issue during my initial practice on kaggle.
I use LGTM for code quality analysis.
My LGTM badge recently went from "A+" to "no language data"
You can see it in my README.
I have no idea how to fix this and the LGTM site doesn't show any record of this error that I could find. I thought that I may need an lgtm.yml file but I have been using LGTM without one for the last few months without seeing this error.
Any help is appreciated.
This turned out to be an LGTM issue that was resolved automatically after my next git push. For anyone experiencing this issue in future, it is probably best to give them a few days to resolve it and keep pushing good updates to your repo which will trigger their system to update the quality.
I am new in Tensorflow and I am trying to build model which will be able to perform OCR on my images. I am reading the paper of google about the attention ocr.the project in github seems non-existent.I am searching for a long time on net. But no use. Please help or try to give some ideas how to achieve this.
https://github.com/tensorflow/models/tree/master/attention_ocr
The project moved into the research subfolder of tensorflow/models.
The new correct link is:
https://github.com/tensorflow/models/tree/master/research/attention_ocr