PredictMD is a free and open-source Julia package that provides a uniform interface for machine learning.
PredictMD makes it easy to automate machine learning workflows and create reproducible machine learning pipelines.
It is the official machine learning framework of the Brown Center for Biomedical Informatics.
|Table of Contents|
|2. Run the test suite after installing|
|4. Docker image|
|6. Related Repositories|
PredictMD is registered in the Julia General registry. Therefore, to install PredictMD, simply open Julia and run the following four lines:
import Pkg Pkg.activate("PredictMDEnvironment"; shared = true) Pkg.add("PredictMDFull") import PredictMDFull
After you install PredictMD, you should run the test suite to make sure that everything is working. You can run the test suite by running the following five lines in Julia:
import Pkg Pkg.activate("PredictMDEnvironment"; shared = true) Pkg.test("PredictMDExtra") Pkg.test("PredictMDFull") Pkg.test("PredictMD")
Alternatively, you can use the PredictMD Docker image for easy installation. Download and start the container by running the following line:
docker run --name predictmd -it dilumaluthge/predictmd /bin/bash
Once you are inside the container, you can start Julia by running the following line:
In Julia, run the following line to load PredictMD:
You can run the test suite by running the following four lines in Julia:
import Pkg Pkg.test("PredictMDExtra") Pkg.test("PredictMDFull") Pkg.test("PredictMD")
After you have exited the container, you can return to it by running the following line:
docker start -ai predictmd
To delete your container, run the following line:
docker container rm -f predictmd
To also delete the downloaded image, run the following line:
docker image rm -f dilumaluthge/predictmd
The PredictMD documentation contains useful information, including instructions for use, example code, and a description of PredictMD's internals.
If you would like to contribute to the PredictMD source code, please read the instructions in CONTRIBUTING.md.
20 days ago