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math/mlpack: update 4.2.0 → 4.3.0
Reported by: portscout
This commit is contained in:
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91c3fa73e1
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8734a2bbc1
@ -1,6 +1,5 @@
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PORTNAME= mlpack
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DISTVERSION= 4.2.0
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PORTREVISION= 1
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DISTVERSION= 4.3.0
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CATEGORIES= math # machine-learning
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MASTER_SITES= https://mlpack.org/files/
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@ -1,3 +1,3 @@
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TIMESTAMP = 1687104156
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SHA256 (mlpack-4.2.0.tar.gz) = f780df984a71029e62eeecdd145fb95deb71b133cefc7840de0ec706d116dd60
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SIZE (mlpack-4.2.0.tar.gz) = 5935423
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TIMESTAMP = 1703265475
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SHA256 (mlpack-4.3.0.tar.gz) = 08cd54f711fde66fc3b6c9db89dc26776f9abf1a6256c77cfa3556e2a56f1a3d
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SIZE (mlpack-4.3.0.tar.gz) = 5951310
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@ -48,6 +48,7 @@
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%%EXECUTABLES%%bin/mlpack_sparse_coding
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include/mlpack.hpp
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include/mlpack/base.hpp
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include/mlpack/config.hpp
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include/mlpack/core.hpp
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include/mlpack/core/arma_extend/Mat_extra_bones.hpp
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include/mlpack/core/arma_extend/SpMat_extra_bones.hpp
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@ -429,6 +430,7 @@ include/mlpack/methods/amf/update_rules/svd_incomplete_incremental_learning.hpp
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include/mlpack/methods/amf/update_rules/update_rules.hpp
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include/mlpack/methods/ann.hpp
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include/mlpack/methods/ann/activation_functions/activation_functions.hpp
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include/mlpack/methods/ann/activation_functions/bipolar_sigmoid_function.hpp
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include/mlpack/methods/ann/activation_functions/elish_function.hpp
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include/mlpack/methods/ann/activation_functions/elliot_function.hpp
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include/mlpack/methods/ann/activation_functions/gaussian_function.hpp
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@ -529,6 +531,8 @@ include/mlpack/methods/ann/layer/hard_tanh_impl.hpp
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include/mlpack/methods/ann/layer/identity.hpp
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include/mlpack/methods/ann/layer/identity_impl.hpp
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include/mlpack/methods/ann/layer/layer.hpp
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include/mlpack/methods/ann/layer/layer_norm.hpp
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include/mlpack/methods/ann/layer/layer_norm_impl.hpp
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include/mlpack/methods/ann/layer/layer_types.hpp
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include/mlpack/methods/ann/layer/leaky_relu.hpp
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include/mlpack/methods/ann/layer/leaky_relu_impl.hpp
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@ -548,6 +552,8 @@ include/mlpack/methods/ann/layer/mean_pooling.hpp
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include/mlpack/methods/ann/layer/mean_pooling_impl.hpp
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include/mlpack/methods/ann/layer/multi_layer.hpp
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include/mlpack/methods/ann/layer/multi_layer_impl.hpp
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include/mlpack/methods/ann/layer/multihead_attention.hpp
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include/mlpack/methods/ann/layer/multihead_attention_impl.hpp
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include/mlpack/methods/ann/layer/noisylinear.hpp
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include/mlpack/methods/ann/layer/noisylinear_impl.hpp
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include/mlpack/methods/ann/layer/not_adapted/README.md
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@ -583,16 +589,12 @@ include/mlpack/methods/ann/layer/not_adapted/isrlu.hpp
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include/mlpack/methods/ann/layer/not_adapted/isrlu_impl.hpp
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include/mlpack/methods/ann/layer/not_adapted/join.hpp
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include/mlpack/methods/ann/layer/not_adapted/join_impl.hpp
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include/mlpack/methods/ann/layer/not_adapted/layer_norm.hpp
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include/mlpack/methods/ann/layer/not_adapted/layer_norm_impl.hpp
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include/mlpack/methods/ann/layer/not_adapted/lookup.hpp
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include/mlpack/methods/ann/layer/not_adapted/lookup_impl.hpp
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include/mlpack/methods/ann/layer/not_adapted/lp_pooling.hpp
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include/mlpack/methods/ann/layer/not_adapted/lp_pooling_impl.hpp
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include/mlpack/methods/ann/layer/not_adapted/minibatch_discrimination.hpp
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include/mlpack/methods/ann/layer/not_adapted/minibatch_discrimination_impl.hpp
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include/mlpack/methods/ann/layer/not_adapted/multihead_attention.hpp
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include/mlpack/methods/ann/layer/not_adapted/multihead_attention_impl.hpp
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include/mlpack/methods/ann/layer/not_adapted/multiply_constant.hpp
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include/mlpack/methods/ann/layer/not_adapted/multiply_constant_impl.hpp
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include/mlpack/methods/ann/layer/not_adapted/multiply_merge.hpp
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@ -1063,9 +1065,11 @@ include/mlpack/methods/regularized_svd/regularized_svd_impl.hpp
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include/mlpack/methods/reinforcement_learning.hpp
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include/mlpack/methods/reinforcement_learning/async_learning.hpp
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include/mlpack/methods/reinforcement_learning/async_learning_impl.hpp
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include/mlpack/methods/reinforcement_learning/ddpg.hpp
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include/mlpack/methods/reinforcement_learning/ddpg_impl.hpp
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include/mlpack/methods/reinforcement_learning/environment/acrobot.hpp
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include/mlpack/methods/reinforcement_learning/environment/cart_pole.hpp
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include/mlpack/methods/reinforcement_learning/environment/continuous_double_pole_cart.hpp
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include/mlpack/methods/reinforcement_learning/environment/cont_double_pole_cart.hpp
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include/mlpack/methods/reinforcement_learning/environment/continuous_mountain_car.hpp
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include/mlpack/methods/reinforcement_learning/environment/double_pole_cart.hpp
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include/mlpack/methods/reinforcement_learning/environment/env_type.hpp
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@ -1075,6 +1079,9 @@ include/mlpack/methods/reinforcement_learning/environment/ftn_param.hpp
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include/mlpack/methods/reinforcement_learning/environment/mountain_car.hpp
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include/mlpack/methods/reinforcement_learning/environment/pendulum.hpp
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include/mlpack/methods/reinforcement_learning/environment/reward_clipping.hpp
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include/mlpack/methods/reinforcement_learning/noise/gaussian.hpp
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include/mlpack/methods/reinforcement_learning/noise/noise.hpp
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include/mlpack/methods/reinforcement_learning/noise/ornstein_uhlenbeck.hpp
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include/mlpack/methods/reinforcement_learning/policy/aggregated_policy.hpp
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include/mlpack/methods/reinforcement_learning/policy/greedy_policy.hpp
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include/mlpack/methods/reinforcement_learning/policy/policy.hpp
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@ -1091,6 +1098,8 @@ include/mlpack/methods/reinforcement_learning/replay/replay.hpp
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include/mlpack/methods/reinforcement_learning/replay/sumtree.hpp
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include/mlpack/methods/reinforcement_learning/sac.hpp
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include/mlpack/methods/reinforcement_learning/sac_impl.hpp
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include/mlpack/methods/reinforcement_learning/td3.hpp
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include/mlpack/methods/reinforcement_learning/td3_impl.hpp
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include/mlpack/methods/reinforcement_learning/training_config.hpp
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include/mlpack/methods/reinforcement_learning/worker/n_step_q_learning_worker.hpp
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include/mlpack/methods/reinforcement_learning/worker/one_step_q_learning_worker.hpp
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