semvec/pypi-packages huggingface dataset:
early-stopping 0.1.3
Early stopping for neural networks

# Early Stopping

I'm too lazy to read the Tensorflow documentation, so I made this simple early stopper. After each training step, feed the object the testing loss result for that epoch and it will return a boolean that says whether or not to break the training loop. 
# Installation

Install through pip as shown:

```bash
pip install early-stopping
```
# Example Usage

```py
from early_stopping import EarlyStopping

early_stopper = EarlyStopping(
    depth=5,
    ignore=20,
    method='consistency'
)

# Your training loop
for epoch in range(EPOCHS):
    # Train step here
    # Test step here

    # Check if we should break the loop
    if early_stopper.check(testing_loss):
        print('BREAKING THE TRAINING LOOP')
        break

```
spotml 0.0.11
Automate ML training on spot instances easily.
Requires Python: >=3.6.0


[SpotML](https://www.spotml.io/) is a command-line tool that lets you manage ML training on spot instances.

* Train entirely on spot instances to maximize savings 
* Or mix and match on-demand instances to meet your deadlines.
* Handles all infrastructure so that training is as easy as running it locally.

See [documentation](https://docs.spotml.io/).
majka 0.9
Wrapper for Majka morphological analyser

Native cPython binding to a C++ implementation of morphological analyser named Majka.

Tags returned from the analyser are also transcribed into a native Python dictionary
to enable a much more Python-like experience without a need to study the documentation.

Based on code of Pavel Smerk and Pavel Rychly, NLP group at MUNI, Czech Republic.

Morphological automatons are distributed separately under different licences.
See http://nlp.fi.muni.cz/ma/