More crashes caught
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@@ -381,7 +381,7 @@ class KrylovLpr {
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// Compute the expansion of the current query point.
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MultiIndexUtil::ComputePointMultivariatePolynomial
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(dimension_, lpr_order_, query_pt, query_point_expansion.ptr());
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// Take the dot product between the query point solution and the
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// query point expansion to get the regression estimate.
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regression_estimates[i] = la::Dot(row_length_, query_pt_solution,
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@@ -485,7 +485,7 @@ class KrylovLpr {
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right_hand_sides_used_error.Init(qset.n_cols());
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right_hand_sides_n_pruned.Init(qset.n_cols());
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solution_vectors_e.Init(row_length_, qset.n_cols());
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// The computation proceeds in three phases:
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//
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// Phase 1: Compute B^T W(q) Y vector for each query point.
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@@ -513,6 +513,8 @@ class KrylovLpr {
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// Proceed with the third phase of the computation to output the
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// final regression value.
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printf("Starting Phase 3...\n");
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query_regression_estimates->Init(qset.n_cols());
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query_magnitude_weight_diagrams->Init(qset.n_cols());
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FinalizeRegressionEstimates_(qset, solution_vectors_e,
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(*query_regression_estimates));
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printf("Phase 3 completed...\n");
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@@ -552,6 +554,7 @@ class KrylovLpr {
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// If the reference dataset is being used for training, then
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// compute variance and degrees of freedom.
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if(query_influence_values != NULL) {
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query_influence_values->Init(queries.n_cols());
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ComputeVariance_();
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}
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