abhishekkrthakur / mlframework Goto Github PK

After executing this command "sh run.sh randomforest", I got the following error messages.

Traceback (most recent call last):
File "/opt/anaconda3/envs/kaggle/lib/python3.8/runpy.py", line 193, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/opt/anaconda3/envs/kaggle/lib/python3.8/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/Users/ekaratrattagan/Program/Course/machine_learning/kaggle/e01/src/train.py", line 45, in
train_df.loc[:, c] = lbl.transform(train_df[c].values.tolist())
File "/opt/anaconda3/envs/kaggle/lib/python3.8/site-packages/sklearn/preprocessing/_label.py", line 273, in transform
_, y = encode(y, uniques=self.classes, encode=True)
File "/opt/anaconda3/envs/kaggle/lib/python3.8/site-packages/sklearn/preprocessing/_label.py", line 117, in _encode
return _encode_numpy(values, uniques, encode,
File "/opt/anaconda3/envs/kaggle/lib/python3.8/site-packages/sklearn/preprocessing/_label.py", line 49, in _encode_numpy
raise ValueError("y contains previously unseen labels: %s"
ValueError: y contains previously unseen labels: [nan, nan, nan, nan, nan, nan, nan, nan, ....

I then fixed it by adding the following two lines,
train_df[c].replace(np.nan, 'NAN', inplace=True)
valid_df[c].replace(np.nan, 'NAN', inplace=True)
,after for c in train_df.columns: and before lbl = preprocessing.LabelEncoder()
in train.py

label_encoders = {}
for c in train_df.columns:
train_df[c].replace(np.nan, 'NAN', inplace=True)
valid_df[c].replace(np.nan, 'NAN', inplace=True)
lbl = preprocessing.LabelEncoder()

After that, it worked perfectly.

How to use CrossValidation functionality in train or predict implementation files?

File "../src/train.py", line 12, in
FOLD = int(os.environ.get("FOLD"))
TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'

I am having this issue.
Can anyone provide any solution?
TIA

When I ran the create_folds.py script I got uneven folds, structurally unlike what you obtained. I didn't change your code so I am not sure what is the underlying problem.

The first and last folds have this one hanging.

I am following your YouTube series....and this happens in episode 1. I rechecked script 10 times. It is ditto same as yours.

At time stamp 11:14 in the youtube video: Tips N Tricks #2: Setting up development environment for machine learning, issuing the command conda env create -f environment.yml throws the following error.

Solving environment: failed
ResolvePackageNotFound:
  - python==3.7.6=h0371630_1

• Using Windows Subsystem as Linux (WSL) - Ubuntu

https://github.com/scikit-learn-contrib/category_encoders

don't you think it will better to encode each column with his category type for the contest ?

Hi Abhishek,
I was watching your mlframework videos (thanks for them btw!) and coding along, when I saw that this repo doesn't have a license. I wanted to use this framework for some of my own projects, so I was wondering if you could add one if possible?

Hi All,
I am trying to replicate this environment in my system. I was following the steps indicated in the book. Approaching any Machine Learning Problem.
I tried running the following the command and was receiving the following error.
I have never worked with Anaconda.
It would be great if someone can help me out.