How to do "train_test_split" for image data set used in pyrasterframes? about sat-ml-training HOT 3 CLOSED

Hi,
I have added the "unsupervised machine learning" and "supervised machine learning" under my github repository "https://github.com/JenniferYingyiWu2020/rasterframes-GeoTIFFs/tree/main/machine-learning". What I needed is to do "train_test_split" for the image data set of "unsupervised machine learning" and "supervised machine learning". So, could you pls give me some suggestions? Thanks!

from sat-ml-training.

Hi,
I have read your codes about "supervised machine learning" (https://rasterframes.io/supervised-learning.html), and found out that the multi-band image is "['B01', 'B02', 'B03', 'B04', 'B05', 'B06', 'B07', 'B08', 'B09', 'B11', 'B12']". Now, I need to split "model_input" as training_set and test_set, however the "model_input" is a DataFrame, also the "['B01', 'B02', 'B03', 'B04', 'B05', 'B06', 'B07', 'B08', 'B09', 'B11', 'B12']" is Tile Array. So, could you pls give me some suggestions on how to convert the "model_input" as a multi-matrix? If the "model_input" can be converted to a multi-matrix, then the function "train_test_split" can be used to split the multi-band image as a training set and a test set. Thanks!

from sat-ml-training.

This project is not related to rasterframes.io

from sat-ml-training.