semvec/pypi-packages huggingface dataset:
luculia 0.1.0
A personal note-taking engine.
Requires Python: >=3.8.0
Keywords: personal command-line note databse

Luculia
=====

[![Commits](https://img.shields.io/github/last-commit/luculia/luculia)][co]
[![Tracker](https://img.shields.io/github/issues/luculia/luculia)][is]
[![Version](https://img.shields.io/pypi/v/luculia)][pp]
[![PythonV](https://img.shields.io/pypi/pyversions/luculia)][py]
[![License](https://img.shields.io/badge/license-BSD--3-blue)][li]

**Luculia** is a personal note-taking engine, written in [Python][py] by Stephen Malone. Use it to create, edit and organise your text files, all from the command-line!

Installation
------------

1. Install [Python][py] and run `pip install luculia`.
1. Run `luculia init` to run the interactive setup tool.

Alternately, you can download the [latest source release][re] and install it yourself.

Usage
-----

### Basic Concepts

Luculia expects to you have a bunch of text files using a single extension in a single directory. These files are always referenced by name, lowercase and without extension.

For example, if you have a directory like this:

~~~text
- notes/
  - alpha.txt
  - bravo.txt
  - charlie.txt
~~~

You can manipulate them like this:

~~~text
$ luculia list
alpha
bravo
charlie

$ luculia show charlie
Chaaaarliiiie!

$ luculia open delta
(this opens "notes/delta.txt" in your default editor)
~~~

### Configuration Files

The default configuration file location is `~/.luculia` (i.e.: a file named `.luculia` in your home directory). If you'd like to put your configuration file somewhere else, set the environment variable `LUCULIA` to the file's path.

<details><summary>Example configuration file.</summary>

~~~toml
# # # # # # # # # # # # # # # #
# Luculia Configuration File. #
# # # # # # # # # # # # # # # #

# The path to your notes directory.
directory = "~/notes"

# The extension your note files use.
extension = "txt"
~~~

</details>

### Command Guide

#### `list`

List all existing notes in alphabetical order.

<details><summary>Example.</summary>

~~~text
$ luculia list
alpha
bravo
charlie
~~~

</details>

Contribution
------------

Please submit any bugs or proposals to the [public issue tracker][is]. Thank you!

[co]: https://github.com/luculia/luculia/commits/master
[is]: https://github.com/luculia/luculia/issues
[li]: https://github.com/luculia/luculia/blob/master/license.md
[pp]: https://pypi.org/project/luculia/
[py]: https://python.org
[re]: https://github.com/luculia/luculia/releases
model-selection 0.0.1
A Library which provides more information about suitable Machine learning algorithm for your dataset
Requires Python: >=3.7

# Model Selection

### Scope of This Project
- As a beginner in Data science/Machine learning field, most of us having issue in **Feature Selection**,
**Feature Extraction** and **Model Selection**. Algorithm-Finder can help you to solve this problem. using Algorithm-Finder
you can achieve the below tasks and more.
    - **Model Selection**
    - **Feature Selection**
    - **Feature Extraction**
    - **Optimized tuning parameters**

- This package mainly used scikit-learn for most of the estimators, by using Algorithm-Finder you can apply your dataset
on below models
    - ALL --> ALL IN
    - MLR --> MultiLinearRegression
    - POLY --> PolynomialRegression
    - SVR --> SupportVectorRegression
    - DTREE --> DecisionTreeRegression & DecisionTreeClassification
    - RFR --> RandomForestRegression
    - SIGMOID --> LogisticRegression
    - KNN --> K-NearestNeighbours Classifier
    - SVM --> SupportVectorMachine Classifier
    - RFC --> RandomForestClassifier
    - BAYESIAN --> NaiveBayesClassifier