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Commit d66d9b1c authored by BARTHES Nicolas's avatar BARTHES Nicolas
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updated README.md

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...@@ -7,7 +7,7 @@ The process includes: ...@@ -7,7 +7,7 @@ The process includes:
- sample selection - you can upload all your NIRS spectra and it'll help to select the samples to analyse chemically. - sample selection - you can upload all your NIRS spectra and it'll help to select the samples to analyse chemically.
- model creation - the PINARD (https://github.com/GBeurier/pinard) package creates a prediction model with spectra and related chemical analysis. - model creation - PLS regression is used to create prediction models with spectra and related chemical analysis.
More algorythms had been added like LWPLR from Jchemo (https://github.com/mlesnoff/Jchemo.jl), PLSR with wavelength selection, etc. More algorythms had been added like LWPLR from Jchemo (https://github.com/mlesnoff/Jchemo.jl), PLSR with wavelength selection, etc.
...@@ -39,6 +39,8 @@ You can then run (CLI): streamlit run ./app.py from within your src/ folder. ...@@ -39,6 +39,8 @@ You can then run (CLI): streamlit run ./app.py from within your src/ folder.
The app will open in your default browser. The app will open in your default browser.
_If you encounter an "import pyodbcImportError: libodbc.so.2" error on linux OS, please, install __unixodbc__ with apt install unixodbc from the CLI._
## Usage ## Usage
The web app allows you to process sample selection, model creation and predictions with a simple interface or the advanced one. The web app allows you to process sample selection, model creation and predictions with a simple interface or the advanced one.
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