我在获取 hmmlearn 软件包以正确安装(在虚拟环境中)时遇到了一些麻烦;它似乎与基础C代码有关。该软件包可以通过 pip 很好地安装,但是当我尝试导入核心类时,出现错误:

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    最近在学HMM,用Python的hmmlearn库,发现帮助文档 hmmlearn — hmmlearn 0.1.0 documentation 写得不明不白(还是我水平太低)。在建立模型时的混淆矩阵是怎么输入的,其中的mean,covars 表示的是什么,还有covariance_type中 ‘spherical’, ‘tied’, ‘diag’, ‘full’.是什么呢?

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    A popular and widely used statistical method for time series forecasting is the ARIMA model. ARIMA is an acronym that stands for AutoRegressive Integrated Moving Average. It is a class of model that captures a suite of different standard temporal structures in time series data. In this tutorial, you will discover how to develop an […]

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