(一)线性回归与特征归一化(feature scaling) 吴恩达机器学习视频 https://study.163.com/course/courseMain.htm?courseId=1004570029 线性回归是一种回归分析技术,回归分析本质上就是一个函数估计的问题(函数估计包括参数估计和非参数估计),就是找出因变量和自变量之间的因果关系。回归分析的因变量是应该是连
缩放到单位长度(Scaling to unit length) 就是除以向量的欧拉长度( the Euclidean length of the vector),二维范数。 总结 数据的归一化和缩放非常重要,会影响到特征选择和对真实业务问题的判定。 参考 https://en.wikipedia.org/wiki/Feature_scaling
(4)最大绝对值归一化(max abs normalization ):也就是将数值变为单位长度(scaling to unit length),将数值范围缩放到[-1,1]区间里 (5)稳键标准化(robust standardization):先减去中位数,再除以四分位间距(interquartile range),因为不涉及极值,因此在数据里有异常值的情况下表现比较稳健 * 有一些时候,只对数...
特征缩放(feature scaling) 机会永远留给有准备的人,不积跬步,无以至千里,厚积而薄发,与大家共勉!加油! 博主最近在学习吴恩达的机器学习课程,将一些日常学习本人认为重要的地方在此记录,与大家分享,如有错误,请大家不吝赐教! github:https://github.com/ScathonLin 在梯度下降算法运用中,如果能保证不同特征的取值...
Scaling State FeaturestoreMonitoringConfig Overview ImportFeaturesAnalysis Overview Baseline State SnapshotAnalysis ThresholdConfig FetchFeatureValuesRequest FetchFeatureValuesResponse Overview FeatureNameValuePairList Overview FeatureNameValuePair FileData FilterSplit FindNeighborsRequest Overview ...
fitrkerneltrains or cross-validates a Gaussian kernel regression model for nonlinear regression.fitrkernelis more practical to use for big data applications that have large training sets, but can also be applied to smaller data sets that fit in memory. ...
PSFEATURE_CUSTPAPER结构包含有关 PostScript 驱动程序的自定义纸张大小的信息。 此结构与GET_PS_FEATURESETTING打印机转义函数一起使用。 语法 C++复制 typedefstruct_PSFEATURE_CUSTPAPER{LONG lOrientation; LONG lWidth; LONG lHeight; LONG lWidthOffset; LONG lHeightOffset; } PSFEATURE_CUSTPAPER, *PPSFEATURE...
* 描述用于设置DXGI_DDI_MULTIPLANE_OVERLAY_FEATURE_CAPS_SHARED功能的 4 个 MPO 平面的一个或多个功能组。 DXGI_DDI_MULTIPLANE_OVERLAY_FEATURE_CAPS_IMMEDIATE 指示HW 支持即时翻转 MPO 平面,只要唯一的更改是显示开始地址。 DXGI_DDI_MULTIPLANE_OVERLAY_FEATURE_CAPS_PLANE0_FOR_VIRTUAL_MODE_ONLY ...
If the predictors have significantly different scales, scale the data for easier visualization. Try different options in theScalinglist: Nonedisplays raw data along coordinate rulers that have the same minimum and maximum limits. Rangedisplays raw data along coordinate rulers that have independent minimu...