semvec/pypi-packages huggingface dataset:
hyperactive-progress-board 0.1.0
Add on for Hyperactive package to visualize progress of optimization run.
License: MIT
Keywords: visualization,data-science

<H1 align="center">
    Progress Board
</H1>

<br>

<H2 align="center">
    An addon for the Hyperactive package to visualize the progress of optimization runs.
</H2>

<br>

The Progress Board is a dashboard (opens in webbrowser) that provides visualization of live-updated data from Hyperactive. It integrates seamlessly with Hyperactive (v4) and opens up the optimization run with useful information. It also supports multiprocessing and multiple searches at the same time without any added complexity or work for the user. 

The Progress Board should be used for computationally expensive objective functions (like machine-/deep-learning models). 

The Progress Board is tested in Ubuntu, but Windows support maybe added in the future.


## Installation

```console
pip install hyperactive-progress-board
```


## Example

```python
from sklearn.model_selection import cross_val_score
from sklearn.tree import DecisionTreeRegressor
from sklearn.datasets import fetch_california_housing

from hyperactive import Hyperactive
from hyperactive_progress_board import ProgressBoard # import progress board

data = fetch_california_housing()
X, y = data.data, data.target

progress = ProgressBoard() # init progress board


@progress.update # add decorator
def dtr_model(opt):
    dtr = DecisionTreeRegressor(
        min_samples_split=opt["min_samples_split"],
    )
    scores = cross_val_score(dtr, X, y, cv=5)
    return scores.mean()


search_space = {
    "max_depth": list(range(2, 50)),
    "min_samples_split": list(range(2, 50)),
    "min_samples_leaf": list(range(1, 50)),
}

progress.open() # open progress board before run begins

hyper = Hyperactive()
hyper.add_search(dtr_model, search_space, n_iter=1000)
hyper.run()
```
pyfort 0.0.5
command-line password manager
License: MIT
Keywords: python

# fort
v0.0.5

## About
Command line application created in python with json and sqlite to easy store password. The stored data will be encrypted so only the person with master key will be able to access it.<br>
The data will be stored at the execution location. So if you execute the program within USB drive path, the data will be stored in the drive. You can take your data anywhere with this.
- Note : The data will be stored at the execution path, so keep in mind where you execute/call program from.

## Installation
From PyPI
```
pip install pyfort
```
- For Linux
```
sudo pip3 install pyfort
```
From github
```
# Clone project
git clone https://github.com/a-tharva/fort && cd fort

# Installation
python3 setup.py install

# Installation Linux
sudo python3 setup.py install

# Run setup
fort
```

## Usage
![fort](https://user-images.githubusercontent.com/70326109/147367275-7ca73375-a66b-48f1-ae13-8eee1638e7eb.gif)
```
fort
[Login / Signup / Erase / Ctrl+C] 

  Login:      Already created account  
  Signup:     Create new account 
  Erase:      Delete account!!!

Login:
[display / get / help / insert / logout / replace]

  display:    display whole database 
  get:        get selected password and decrypt it 
  help:       print help context
  insert:     insert into database 
  logout:     logout of current acount
  replace:    replace element from table
```

## Development
Still working on this project.<br>
- Next version will store everything in sqlite database instead of storing user details in json file.<br>
- Copy Key option will be added to store key seperate as user want. 
- Password / username / website name rename feature will be added in next version
<!-- - More functions like displaying * while typing password will be added after I finish some other projects.<br> -->

## Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**.

If you have a suggestion that would make this better, please fork the repo and create a pull request.
Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/Feature`)
3. Commit your Changes (`git commit -m 'Add some Feature'`)
4. Push to the Branch (`git push origin feature/Feature`)
5. Open a Pull Request


## License
Distributed under the MIT License. [License](https://github.com/a-tharva/Password-Manager/blob/master/LICENSE)


Change Log
==========

0.0.1 (15/12/2021)
-------------------
- First Release

0.0.2 (27/12/2021)
-------------------
- Format changes
- Printing table in sql table format

0.0.3 (17/1/2022)
-------------------
- Fixed and modified how encryption key is generated

0.0.5 (28/1/2022)
-------------------
- UI update
- v0.0.4 final