Add chla deep learning module

docs/chla.md

@@ -0,0 +1,3 @@
+# chla module
+
+::: hypercoast.chla

hypercoast/chla.py

@@ -0,0 +1,16 @@
+import torch
+import torch.nn as nn
+import numpy as np
+from torch.utils.data import DataLoader, TensorDataset, random_split
+import torch.nn.functional as F
+from sklearn.preprocessing import MinMaxScaler, StandardScaler
+import matplotlib.pyplot as plt
+import seaborn as sns
+import os
+import scipy.io
+import pandas as pd
+import netCDF4 as nc
+import rasterio
+from rasterio.transform import from_origin
+from rasterio.warp import reproject, Resampling
+from scipy.interpolate import griddata

mkdocs.yml

@@ -114,6 +114,7 @@ nav:
           - workshops/pace.ipynb
     - API Reference:
           - aviris module: aviris.md
+          - chla module: chla.md
           - common module: common.md
           - desis module: desis.md
           - emit module: emit.md

pyproject.toml

@@ -30,6 +30,7 @@ hypercoast = "hypercoast.cli:main"
 [project.optional-dependencies]
 all = [
     "HyperCoast[extra]",
+    "HyperCoast[torch]",
 ]
 
 extra = [
@@ -41,6 +42,7 @@ extra = [
     "scikit-learn",
 ]
 
+torch = ["pytorch", "seaborn"]
 
 [tool]
 [tool.setuptools.packages.find]