lpcML 0.0.11

LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells

LPC ML

LPC ML is a tool developed in the CiTIUS, USC by the MODEV group for training a multi-layer perceptron (MLP) neural network to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells.

Fig.1: GaAs-based horizontal laser power converter

Data used to feed the neural networks is shared in data/hLPC_GaAS_5W_ml.csv.

Installation

First you need to have installed pip3 on your system. For Ubuntu, open up a terminal and type:

sudo apt update
sudo apt install python3-pip

Installation of lpcML via pip3

Install the tool using pip3:

pip3 install lpcML

and check the library is installed by importing it from a python3 terminal:

import lpcML

Unless an error comes up, LPC ML is now installed on your environment.

Optional

To ensure the versions compatibility and avoiding the urllib3 (2.2.1) or chardet (4.0.0) doesn't match a supported version! error use the following command:

pip3 install --upgrade requests