FeaturesAnalyzer

Regression analysis system, classification and prediction of temporal series

🚧 Needs attention

Temporarily to use this platform you need to add the data to the Data/Dump Director, with the Name:

    dump_[YYYY-MM-DD-HH-mm-SS].csv

With this data format:

name	time	FPA	FPB	FPC	P1	P2	P3	Q1	Q2	Q3
sensor1	00:00:00	...	...	...	...	...	...	...	...	...
sensor1	00:01:00	...	...	...	...	...	...	...	...	...
...	...	...	...	...	...	...	...	...	...	...
sensor1	23:58:00	...	...	...	...	...	...	...	...	...
sensor1	23:59:00	...	...	...	...	...	...	...	...	...

In addition, several settings and several internal are still related to the original problem of the analysis platform.Além disso várias configurações e várias internas ainda são relativas ao problema original da plataforma de análise.

- Requirements

• Python3.10.4 or higher

- Installation

• With pip:

╭─user@host ~/FeaturesAnalyzer ‹main●›
╰─$ pip install -r requirements.txt

• With pipenv:

╭─user@host ~/FeaturesAnalyzer ‹main●›
╰─$ pipenv install --python 3.10.4

- Usage

╭─user@host ~/FeaturesAnalyzer/src/ ‹main●›
╰─$ python main.py

Opinionally you can use Docker 🐋:

• To gain access to the graphic interface perform:

╭─user@host ~/FeaturesAnalyzer/src/ ‹main●›
╰─$ chmod +x ./pre-build.sh

╭─user@host ~/FeaturesAnalyzer/src/ ‹main●›
╰─$ ./pre-build.sh

• Finnaly, you can use the graphical interface:

╭─user@host ~/FeaturesAnalyzer/src/ ‹main●›
╰─$ docker-compose up --build

Development

🚧 Needs Attention

It is possible to need some changes in docker-compose.yml so that the project works properly with docker.

Maintenance

If you need to install any dependence, use Pipenv.

• Basic tutorial on Pipenv: Pipenv

• After altering some dependence, use the command below to ensure a freeze of the project's depths.

╭─user@host ~/FeaturesAnalyzer ‹main●›
╰─$ chmod +x update_reqs.sh

╭─user@host ~/FeaturesAnalyzer ‹main●›
╰─$ ./update_reqs.sh

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