semvec/pypi-packages huggingface dataset:
model-tracker 0.0.1
Simple approximate queue model metrics
Requires Python: >=3.6

# model-tracker

A simple data store keeping track of models and things


### Running locally

* Get postgres up and running for local development

```
 docker pull postgres
 docker run --rm   --name pg-docker -e POSTGRES_PASSWORD=docker -d -p 5432:5432
```

* Flash database for quick dev

```
PGPASSWORD='docker' psql -h localhost -U postgres -c "drop database modeltracker" 
  && PGPASSWORD='docker' psql -h localhost -U postgres -c "create database modeltracker"
```

* Populate the basic type tables

```
python -m modeltracker.main
```

* Suppose you have been developing and wish to destroy all table contents:

```bash
python -m modeltracker.main -r
```

# Database dict
## To keep track of what is being produced by the modeltracker

**datastore_type** : Describes the datastore types, BQ or GCS for instance.

**feature_store_metrics** : Describes the metrics relating to each model in the model_catalog_id

**job** : Describes tasks that have been run

**model_catalog** : describes models and links to state_id

**model_output** : describes location and datastore type of model_output

**state** : Catalogue of states

**task_type** : Tracks tasks that occurr
qaquora 0.4
This is a python package to extra all questions and answers related to any topic on quora

#### Quora-Scraper ######

This package will allow you to scrap all Questions-Answers related to any topic e.g. mathematics-and-physics,coronavirus etc from Quora.

It includes two functions for now-

* quora_scrap(self,keyword,PATH) 

**arguments-**

**keyword** - keyword is an argument which describes your topic for e.g coronavirus,coronavirusinindia etc.

**PATH** - to define path of chromedriver.exe file

**return-**

**questions** - questions scrapped for keyword 

**answers** - answers scrapped for each question

**final_qa_dict** - dictionary of scrapped questions-answers

* save_to_csv(self,filename,questions,final_question_answer_pairs_quora_dict)

**arguments-**

**filename** - specify name of your csv file

**questions** - questions returned by function 'quora_scrap'

**final_question_answer_pairs_quora_dict** - specifies question-answer dictionary returned by function 'quora_scrap'



If anyone wants to contribute in this project,feel free to do.
izzy 0.3.90
A toolkit for executing and analyzing machine learning classification

<img src="izzy.svg" alt="izzy" height="200px">

a package for data science

<span style="white-space: nowrap;">
    <a href="https://pypi.org/project/izzy/"><img src="https://img.shields.io/pypi/v/izzy" /></a>
    <a href="https://travis-ci.com/github/LockhartLab/izzy"><img src="https://img.shields.io/travis/com/lockhartlab/izzy/master" /></a>
    <a href="https://codecov.io/gh/LockhartLab/izzy"><img src="https://img.shields.io/codecov/c/github/lockhartlab/izzy/master" /></a>
</span>

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<nobr><img src="https://img.shields.io/codecov/c/github/lockhartlab/izzy/dev" alt="coverage-dev"/></nobr>
-->
<hr>

note that this package is **still in development**  
version 1.0 will be the first major release  
until then, consider this code heavily volatile

yet, install simply by calling ```pip install izzy```