| Name | collection-fc JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | None |
| Summary | A flexible, easy-to-use Python library for collection forecasting. |
| upload_time | 2025-07-24 03:51:17 |
| maintainer | None |
| docs_url | None |
| author | Monish Gosar |
| requires_python | >=3.7 |
| license | MIT License
Copyright (c) 2024-2025 Monish Gosar
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
|
| keywords |
collections
forecasting
finance
transition matrix
cashflow
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# CollectionFC
A simple collection forecasting library for Python.
## Features
- 7x7 transition matrix estimation
- 12-month cash-flow forecast
- Basic accuracy diagnostics
- CLI interface for easy use
## Usage
### Install (development mode)
```bash
pip install -e .
```
### Run simple mode
```bash
python -m collection_fc --mode simple --input ledger.csv
```
Optional output paths:
```bash
python -m collection_fc --mode simple \
--input raw/ledger_may25.csv \
--forecast_path out/fc.csv \
--matrix_path out/P.csv \
--validation_path out/val.json
```
See `simple_collection_forecasting_library.md` for full documentation.
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