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@ -40,14 +40,14 @@ fn learn_binary_cim<T: ParameterLearning> (pl: T) { |
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} |
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} |
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let data = trajectory_generator(&net, 100, 100.0, Some(1234),); |
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let data = trajectory_generator(&net, 100, 100.0, Some(6347747169756259),); |
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let (CIM, M, T) = pl.fit(&net, &data, 1, None); |
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print!("CIM: {:?}\nM: {:?}\nT: {:?}\n", CIM, M, T); |
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assert_eq!(CIM.shape(), [2, 2, 2]); |
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assert!(CIM.abs_diff_eq(&arr3(&[ |
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[[-1.0, 1.0], [4.0, -4.0]], |
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[[-6.0, 6.0], [2.0, -2.0]], |
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]), 0.3)); |
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]), 0.1)); |
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} |
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#[test] |
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@ -93,7 +93,7 @@ fn learn_ternary_cim<T: ParameterLearning> (pl: T) { |
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} |
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} |
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let data = trajectory_generator(&net, 100, 200.0, Some(1234),); |
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let data = trajectory_generator(&net, 100, 200.0, Some(6347747169756259),); |
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let (CIM, M, T) = pl.fit(&net, &data, 1, None); |
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print!("CIM: {:?}\nM: {:?}\nT: {:?}\n", CIM, M, T); |
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assert_eq!(CIM.shape(), [3, 3, 3]); |
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@ -101,7 +101,7 @@ fn learn_ternary_cim<T: ParameterLearning> (pl: T) { |
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[[-1.0, 0.5, 0.5], [3.0, -4.0, 1.0], [0.9, 0.1, -1.0]], |
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[[-6.0, 2.0, 4.0], [1.5, -2.0, 0.5], [3.0, 1.0, -4.0]], |
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[[-1.0, 0.1, 0.9], [2.0, -2.5, 0.5], [0.9, 0.1, -1.0]], |
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]), 0.3)); |
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]), 0.1)); |
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} |
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@ -148,13 +148,13 @@ fn learn_ternary_cim_no_parents<T: ParameterLearning> (pl: T) { |
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} |
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} |
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let data = trajectory_generator(&net, 100, 200.0, Some(1234),); |
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let data = trajectory_generator(&net, 100, 200.0, Some(6347747169756259),); |
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let (CIM, M, T) = pl.fit(&net, &data, 0, None); |
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print!("CIM: {:?}\nM: {:?}\nT: {:?}\n", CIM, M, T); |
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assert_eq!(CIM.shape(), [1, 3, 3]); |
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assert!(CIM.abs_diff_eq(&arr3(&[[[-3.0, 2.0, 1.0],
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[1.5, -2.0, 0.5], |
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[0.4, 0.6, -1.0]]]), 0.3)); |
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[0.4, 0.6, -1.0]]]), 0.1)); |
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} |
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@ -228,7 +228,7 @@ fn learn_mixed_discrete_cim<T: ParameterLearning> (pl: T) { |
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} |
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let data = trajectory_generator(&net, 300, 300.0, Some(1234),); |
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let data = trajectory_generator(&net, 300, 300.0, Some(6347747169756259),); |
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let (CIM, M, T) = pl.fit(&net, &data, 2, None); |
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print!("CIM: {:?}\nM: {:?}\nT: {:?}\n", CIM, M, T); |
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assert_eq!(CIM.shape(), [9, 4, 4]); |
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@ -244,7 +244,7 @@ fn learn_mixed_discrete_cim<T: ParameterLearning> (pl: T) { |
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[[-2.0, 1.0, 0.6, 0.4], [2.6, -7.1, 1.4, 3.1], [5.0, 1.0, -8.0, 2.0], [1.4, 0.4, 0.2, -2.0]], |
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[[-3.0, 1.0, 1.5, 0.5], [3.0, -6.0, 1.0, 2.0], [0.3, 0.5, -1.9, 1.1], [5.0, 1.0, 2.0, -8.0]], |
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[[-2.6, 0.6, 0.2, 1.8], [2.0, -6.0, 3.0, 1.0], [0.1, 0.5, -1.3, 0.7], [0.8, 0.6, 0.2, -1.6]], |
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]), 0.3)); |
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]), 0.1)); |
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} |
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#[test] |
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