semvec/pypi-packages huggingface dataset:
wellcome-storage-service 2.3.4
A client for the Wellcome Storage Service

wellcome-storage-service
========================

This is a client for the `Wellcome Storage Service <https://github.com/wellcomecollection/storage-service>`_.

Uploading a new version
***********************

To upload a new version, run the ``release.sh`` script that lives with the source code for this library.

Python 2.7 support
******************

Although we use Python 3 everywhere else in the platform, Archivematica still uses Python 2.7 and this client library.
kwamehealthtoolbox 1.0.4
Kwame Health toolbox with custom functions

# kwamehealthtoolbox
Kwame Health toolbox with custom functions

## Instructions

```
python -m venv venv
./venv/scripts/activate
python -m pip install --upgrade pip setuptools wheel
pip install -r requirements.txt
python setup.py install
```

python setup.py sdist bdist_wheel

twine check dist/*

twine upload dist/*

## Package: sendEmail
Contains the function sendCustomEmail.

Meant for sending custom emails.

## Package: sendWhatsAppMessage
Contains the function sendTwilioMessage.

sendTwilioMessage is used to send messages using Twilios WhatsApp API.

## Package: createDocument
Contains the function convertDoc.

convertDoc is used to convert a page into PDF using convertAPI.

## Package: getDateTime
Contains the function timeData.

timeData is used to get back variables for datetime.
monitor-logs 0.1.3
Monitor your logs from anywhere

# Monitor the metrics of a model remotely, while training the model.

## How to install the package?

### 1. Install the monitor-logs package using.
```pip install monitor-logs```
				
###	2. Import the package.
```from monitor_logs import api```
				
## How to use the package?

### 1. Call the API from the training script using.
```api.call(epoch_num, actual, preds, "username", "session_name")```
	
**epoch_num** - Epoch num from the training\
**actual** - 1D array of ground truth labels\
**preds** - 1D array of predicted labels\
**username** - username of the user\
**session_name** - Name of the session (User Defined). 
 - Since you need the session name to read the logs, make sure to give unique and readable name.
 - Please make sure to follow naming convention standard.
 - Special characters such as underscore, hash, dollar, asterisk can be used.
 - session_name shouldn't start with special characters.

	
### 2. Login to our website or Create a new account here: [Home Page](http://139.162.6.184:5000/). 

### 3. Once the model starts training, go to this website: [http://139.162.6.184:5000/](http://139.162.6.184:5000/). Select your session name and metric to view the model logs.

## Find the [GitHub Page here](https://github.com/Vinithavn/Monitor-model-logs).