@[\\]^_`{|}~"# 创建用于去除标点符号的转换表_PUNC_TABLE =str.maketrans("","", _PUNCTUATION)# 定义函数,返回指定长度的n-gram序列defngrams(sequence, N):"""Return all `N`-grams of the elements in `sequence`"""assertN >=1returnlist(zip(*[sequence[i:]foriinrange(N)]))# 定义函数...
First visit on-policy Monte Carlo agent Weighted incremental importance sampling Monte Carlo agent Expected SARSA agent TD-0 Q-learning agent Dyna-Q / Dyna-Q+ with prioritized sweeping Nonparameteric models Nadaraya-Watson kernel regression k-Nearest neighbors classification and regression Gaussian proces...
""" # 返回最佳策略下的预期奖励和最佳臂的ID return self.best_ev, self.best_arm class ShortestPathBandit(Bandit): # 最短路径赌博机类,继承自Bandit类 def __init__(self, G, start_vertex, end_vertex): """ A weighted graph shortest path problem formulated as a multi-armed bandit. Notes -...
Moving least squaresis a method of reconstructing continuous functions from a set of unorganized point samples via the calculation of a weighted least squares measure biased towards the region around the point at which the reconstructed value is requested. ...
(AgentBase): # 定义一个 Monte-Carlo 学习代理类,继承自 AgentBase 类 def __init__(self, env, off_policy=False, temporal_discount=0.9, epsilon=0.1): """ A Monte-Carlo learning agent trained using either first-visit Monte Carlo updates (on-policy) or incremental weighted importance sampling...
Ordinary least squares Weighted linear regression Generalized linear model (log, logit, and identity link) Gaussian naive Bayes classifier Bayesian linear regression w/ conjugate priors Unknown mean, known variance (Gaussian prior) Unknown mean, unknown variance (Normal-Gamma / Normal-Inverse-Wishart pri...
Weighted incremental importance sampling Monte Carlo agent Expected SARSA agent TD-0 Q-learning agent Dyna-Q / Dyna-Q+ with prioritized sweeping Nonparameteric models Nadaraya-Watson kernel regression k-Nearest neighbors classification and regression Gaussian process regression Matrix factorization Regularized...
Since the weights add up to one, it’s exactly equivalent to doing a weighted average of the three color channels. Here’s the result: The first image is a bit darker, and the edges and shadows are bolder. The second image is lighter and brighter, and the dark lines aren’t quite ...
name: Bug/Performance Issue about: Use this template for reporting a bug or a performance issue. labels: bugfix System information OS Platform and Dis
而numpy-ml仅依赖numpy。由于没有使用其他第三方库，很多方法都是从零开始实现，当你想通过查看源码验证...