Minor: Fix number of band features referenced in comment block of notebook
"\n",
"The test sample is hand picked because of the small set of patches, otherwise with a larged overall set, the training and testing patches should be randomly chosen.\n",
"\n",
- "The sampled features and labels are loaded and reshaped into $n \\times m$, where $n$ represents the number of training pixels, and $m = f \\times t$ the number of all features, with $f$ the size of bands and band combinations (in this example 11) and $t$ the length of the resampled time-series (in this example 23)\n",
+ "The sampled features and labels are loaded and reshaped into $n \\times m$, where $n$ represents the number of training pixels, and $m = f \\times t$ the number of all features (in this example 207), with $f$ the size of bands and band combinations (in this example 9) and $t$ the length of the resampled time-series (in this example 23)\n",
"\n",
"[LightGBM](https://github.com/Microsoft/LightGBM) is used as a ML model. It is a fast, distributed, high performance gradient boosting framework based on decision tree algorithms, used for many machine learning tasks.\n",
"\n",
