Progress Bar

[Thilakraj1998]

Add a Python progress bar on the train function, to indicate to the user the current training progress.

model=bc.train("datasetpath","target")

File to refer : https://github.com/blobcity/autoai/blob/main/blobcity/main/driver.py

Example progress bars in Python: https://www.geeksforgeeks.org/progress-bars-in-python/

For accurate progress reporting, create an execution profile to estimate the total number of epochs/steps. Increment the process bar as each training epoch or step is completed.

The progress bar should display correctly in both terminal / command prompt execution, as well as when executing within a Jupyter Notebook.

[kjura]

Hello, can I contribute to this project? Is it still open?

[Thilakraj1998]

Hello, can I contribute to this project? Is it still open?

Yes, you can contribute to this project.
Just let as know, which issue you would like to work on.

[kjura]

I thought about tackling this issue (issue #24) with progress bar.

As far as I understand, the first step would be to decide whether to use tqdm/progressbar. Would you recommend first to implement bar for terminal/command prompt or Jupyter?

[Thilakraj1998]

I thought about tackling this issue (issue #24) with progress bar.

As far as I understand, the first step would be to decide whether to use tqdm/progressbar. Would you recommend first to implement bar for terminal/command prompt or Jupyter?

@kjura first with jupyter

[kjura]

Thanks for the details, right now I have managed to install necessary packages from requirements.txt (I have created virtual environment locally using venv) and I guess my next step is to run train() function. But I've been fighting with running driver.py file. Namely, when I try to run it the following is rising before my eyes (Ubuntu 20.10):

Traceback (most recent call last): File "driver.py", line 23, in <module> from blobcity.store import DictClass ModuleNotFoundError: No module named 'blobcity'

The below goes from line 21 (top) to 27 (bottom) (driver.py file)

import pickle
import tensorflow as tf
from blobcity.store import DictClass
from blobcity.utils import getDataFrameType,dataCleaner
from blobcity.utils import AutoFeatureSelection as AFS
from blobcity.main.modelSelection import modelSearch
from blobcity.code_gen import yml_reader,code_generator

I guess, it has to do with relative/absolute module searching (I have not installed blobcity via PIP yet. I tried to just use files coming directly from the build). This is the current tree (my local platform) for blobcity:

blobcity/
├── code_gen
│   ├── Generator.py
│   ├── init.py
│   ├── pycache
│   │   ├── Generator.cpython-38.pyc
│   │   ├── init.cpython-38.pyc
│   │   ├── PyMeta.cpython-38.pyc
│   │   └── SourceCodes.cpython-38.pyc
│   ├── PyMeta.py
│   └── SourceCodes.py
├── config
│   ├── classifier_config.py
│   ├── init.py
│   ├── pycache
│   │   ├── classifier_config.cpython-38.pyc
│   │   ├── init.cpython-38.pyc
│   │   ├── regressor_config.cpython-38.pyc
│   │   └── tuner.cpython-38.pyc
│   ├── regressor_config.py
│   └── tuner.py
├── init.py
├── main
│   ├── driver.py
│   ├── init.py
│   ├── modelSelection.py
│   └── pycache
│   ├── driver.cpython-38.pyc
│   ├── init.cpython-38.pyc
│   └── modelSelection.cpython-38.pyc
├── pycache
│   └── init.cpython-38.pyc
├── store
│   ├── DictClass.py
│   ├── init.py
│   ├── Model.py
│   └── pycache
│   ├── DictClass.cpython-38.pyc
│   ├── init.cpython-38.pyc
│   └── Model.cpython-38.pyc
└── utils
├── AutoFeatureSelection.py
├── Cleaner.py
├── FileType.py
├── init.py
├── ProblemType.py
├── pycache
│   ├── AutoFeatureSelection.cpython-38.pyc
│   ├── Cleaner.cpython-38.pyc
│   ├── FileType.cpython-38.pyc
│   ├── init.cpython-38.pyc
│   ├── ProblemType.cpython-38.pyc
│   └── YamlGenerator.cpython-38.pyc
└── YamlGenerator.py

Am I overkilling it and testing (and running) should be smooth and maybe approached differently than my idea? Before running in Jupyter I wanted to run it in the terminal.

[Thilakraj1998]

@kjura

To test locally execute either ClassificationTest.py or RegressionTest.py file which is in the autoai directory