How to use the susi.SOMClustering.SOMClustering function in susi
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felixriese / susi / susi / SOMEstimator.py View on Github 
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"""
from abc import ABC, abstractmethod
import numpy as np
from sklearn.base import BaseEstimator
from sklearn.utils.validation import check_array, check_is_fitted
from tqdm import tqdm
from .SOMClustering import SOMClustering
from .SOMUtils import check_estimation_input, modify_weight_matrix_online
class SOMEstimator(SOMClustering, BaseEstimator, ABC):
"""Basic class for supervised self-organizing maps.
Parameters
----------
n_rows : int, optional (default=10)
Number of rows for the SOM grid
n_columns : int, optional (default=10)
Number of columns for the SOM grid
init_mode_unsupervised : str, optional (default="random")
Initialization mode of the unsupervised SOM
init_mode_supervised : str, optional (default="random")
Initialization mode of the supervised SOMsusi
Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
