apply如果你看一下( )的开头src/library/base/R/apply.R#29,它所做的第一件事就是将输入转换为 amatrix: ## Ensure that X is an array object dl <- length(dim(X)) if(!dl) stop("dim(X) must have a positive length") if(is.object(X)) X <- if(dl == 2L) as.matrix(X) else as...
Plasma diacylglycerol composition is a biomarker of metabolic syndrome onset in rhesus monkeys. Metabolic syndrome is linked with obesity and is often first identified clinically by elevated BMI and elevated levels of fasting blood glucose that are ge......
在程序运行的过程中，如果发生了错误，可以事先约定返回一个错误代码，这样，就可以知道是否有错，以及...
function(X,MARGIN,FUN,...){FUN<-match.fun(FUN)#找到匹配的函数dl<-length(dim(X))#取到X中是几维 dl=2if(!dl)stop("dim(X) must have a positive length")if(is.object(X))#盘判断是否class属性X<-as.matrix(X)elseas.array(X)#否则转发转化为数组d<-dim(X)#d是一个向量,里面存放着X的...
ApplyOnnxModel(TransformsCatalog, String, Nullable<Int32>, Boolean) 建立OnnxScoringEstimator ,它會將預先定型的 Onnx 模型套用至輸入資料行。輸入/輸出資料行是根據所提供 ONNX 模型的輸入/輸出資料行來決定。請參閱 OnnxScoringEstimator 以深入瞭解必要的相依性,以及如何在 GPU 上執行。 C# 複製 public...
zeros(len(streamlines), dtype=bool) for ii, sl in enumerate(streamlines): out[ii] = streamline_near_roi(sl, x_roi_coords, tol=tol, mode=mode) return out # If it's a generator, we'll need to generate the output into a list else: out = [] for sl in streamlines: out.append(...
# 需要导入模块: import sonnet [as 别名]# 或者: from sonnet importBatchApply[as 别名]defweighted_softmax(activations, strengths, strengths_op):"""Returns softmax over activations multiplied by positive strengths. Args: activations: A tensor of shape `[batch_size, num_heads, memory_size]`,...
Expand Up @@ -551,7 +551,7 @@ function hash(x::Rational{<:BitInteger64}, h::UInt) end # These methods are only needed for performance. Since `first(r)` and `last(r)` have the # same denominator (because their difference is an integer), `length(r)` can be calulated # same ...
options OnnxOptions 选项OnnxScoringEstimator。 返回 OnnxScoringEstimator 注解 如果选项。GpuDeviceId 值是nullMLContext.GpuDeviceId如果该值不是null,将使用该值。 适用于 ML.NET 3.0.0 和其他版本 产品版本 ML.NET 1.7.0, 2.0.0, 3.0.0 Apply...
OnnxCatalog.ApplyOnnxModel 方法 发现 产品文档 开发语言 主题 本主题的部分内容可能是由机器翻译。 消除警报 版本 ML.NET 3.0.0 搜索 IDataView IEstimator<TTransformer> ImageEstimatorsCatalog InputOutputColumnPair IPredictionTransformer<TModel> ISingleFeaturePredictionTransformer<TModel>...