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Laplacians initiation in glmm #10
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Error if I give laplacians init as input, after adding the laplacian in the _estimate_gauss_laplacian_parameters as inputs and editing lines 131, 158 + if conditional if laplacians_init is a np array. Dimensionality error : not sure whether the dimension should be Nnodes x Nnodes or Nnodes x Nnodes x ncomponent. `--------------------------------------------------------------------------- File ~/anaconda3/envs/python310/lib/python3.10/site-packages/sklearn/mixture/_base.py:181, in BaseMixture.fit(self, X, y) File ~/anaconda3/envs/python310/lib/python3.10/site-packages/sklearn/base.py:1473, in _fit_context..decorator..wrapper(estimator, *args, **kwargs) File ~/anaconda3/envs/python310/lib/python3.10/site-packages/sklearn/mixture/_base.py:235, in BaseMixture.fit_predict(self, X, y) File ~/anaconda3/envs/python310/lib/python3.10/site-packages/sklearn/mixture/_base.py:140, in BaseMixture._initialize_parameters(self, X, random_state) File ~/anaconda3/envs/python310/lib/python3.10/site-packages/graph_learn/clustering/glmm.py:133, in GLMM.initialize(self, x, resp) File ~/anaconda3/envs/python310/lib/python3.10/site-packages/graph_learn/clustering/glmm.py:35, in _estimate_gauss_laplacian_parameters(x, resp, avg_degree, delta, laplacian) File ~/anaconda3/envs/python310/lib/python3.10/site-packages/graph_learn/smooth_learning.py:154, in gsp_learn_graph_log_degrees(distances, alpha, beta, edge_init, maxit, tol, step_size, edge_tol) File ~/anaconda3/envs/python310/lib/python3.10/site-packages/scipy/sparse/_base.py:695, in _spbase.matmul(self, other) File ~/anaconda3/envs/python310/lib/python3.10/site-packages/scipy/sparse/_base.py:642, in _spbase._matmul_dispatch(self, other) ValueError: dimension mismatch` |
Add in glmm script the option of initialising the laplacians (and actually use the initialised matrices in _estimate_gauss_laplacian_parameters)
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