Example scripts contains some dependencies not listed for Horovod, and in some cases require datasets without explaining how to obtain them. We should provide a README file along with a set of packages (requirements.txt) for successfully running the examples.

Is your feature request related to a problem? Please describe.
Other related issues: #408 #251
I trained a Chinese model for spaCy, linked it to [spacy's package folder]/data/zh (using spacy link) and want to use that for ludwig. However, when I tried to set the config for ludwig, I received an error, which tell me that there is no way to load the Chinese model.

ValueError: Key ch

From the code (input_pipeline.py) I can see that the ParallelTextInputPipeline automatically generates the SEQUENCE_START and SEQUENCE_END tokens (which means that the input text does not need to have those special tokens).

Does ParallelTextInputPipeline also perform **_padding

Looks like spacy 2.1 --> 2.2 has changed the way lemmatizer objects are built. See stack-overflow answer for details.

I can update the library to account for this migration. I have a fork that I can create a pull request from. Let me know.

Steps to reproduce the behavior:
Run
"fr

I run this code

import os
os.environ['is_test_suite']="True" # this is writen due to bug for multiprocessing and pickling I issued. #426 
from auto_ml import Predictor
from auto_ml.utils import get_boston_dataset
from auto_ml.utils_models import load_ml_model

# Load data
df_train, df_test = get_boston_dataset()

# Tell auto_ml which column is 'output'
# Also note columns t

The README states:
If you already had a version of PyTorch installed on your system, please verify that the active torch package is at least version 0.1.11

However, my version of PyTorch (0.3.1) >= 0.1.11, but there are compatibility issues. The README should be updated to reflect the actual minimum version supported.

Given that the code uses no_grad, which is introduced in 0.4.0, the minim

In preprocess_csv function in preprocess.py (link), pandas can be used to parse the csv more efficiently and with way less code. The machine I was using while developing the project did not have pandas installed.

For example: http://neupy.com/modules/generated/neupy.layers.Convolution.html#neupy.layers.Convolution

I need to convert Yolo model to OpenVINO format for opencv/cvat/auto_annotation.
I use opencv CVAT for auto annotation https://github.com/opencv/cvat/tree/develop/cvat/apps/auto_annotation.

To annotate a task with a custom model I need to prepare 4 files:

1. Model config (*.xml) - a text file with network configuration.
2. Model weights (*.bin) - a binary file with trained weights.
3. Label