Searched refs:num_observations (Results 1 – 4 of 4) sorted by relevance
98 const float num_observations = static_cast<float>(x.rows());99 const RowVectorXf x_mean = x.colwise().sum() / num_observations;100 const RowVectorXf y_mean = y.colwise().sum() / num_observations;101 C = (x.rowwise() - x_mean).transpose() * (y.rowwise() - y_mean) / num_observations;118 const float num_observations = static_cast<float>(x.rows());119 const RowVectorXf x_mean = x.colwise().sum() / num_observations;120 const RowVectorXf y_mean = y.colwise().sum() / num_observations;121 return (x.rowwise() - x_mean).transpose() * (y.rowwise() - y_mean) / num_observations;141 const float num_observations = static_cast<float>(x.rows());142 const RowVectorXf x_mean = x.colwise().sum() / num_observations;[all …]
199 state->num_observations = 0; in noise_state_init()845 noise_model->latest_state[c].num_observations++; in add_block_observations()973 var += state->eqns.A[i * n + i] / state->num_observations; in ar_equation_system_solve()988 sum_covar += (bi * state->eqns.x[i]) / state->num_observations; in ar_equation_system_solve()1021 noise_model->latest_state[i].num_observations = 0; in aom_noise_model_update()1086 noise_model->combined_state[channel].num_observations += in aom_noise_model_update()1087 noise_model->latest_state[channel].num_observations; in aom_noise_model_update()1125 noise_model->combined_state[c].num_observations = in aom_noise_model_save_latest()1126 noise_model->latest_state[c].num_observations; in aom_noise_model_save_latest()
186 int num_observations; // The number of observations in the eqn system member
860 EXPECT_EQ(15250, model.latest_state[c].num_observations); in TYPED_TEST_P()865 EXPECT_EQ(2 * 15250, model.combined_state[c].num_observations); in TYPED_TEST_P()891 EXPECT_EQ(15250, model.latest_state[c].num_observations); in TYPED_TEST_P()896 EXPECT_EQ(15250, model.combined_state[c].num_observations); in TYPED_TEST_P()