计算负对数似然损失。 一批样本大小的负 log-likelihoodd 损失由下式给出 其中是类的数量,是-th 类的预测概率-th 样本。当且仅当样本属于类。 例子: >>>predicts = [mx.nd.array([[0.3,0.7], [0,1.], [0.4,0.6]])]>>>labels = [mx.nd.array([0,1,1])]>>>nll_loss = mx.metric.Negative...
# 需要导入模块: from logistic_sgd import LogisticRegression [as 别名]# 或者: from logistic_sgd.LogisticRegression importnegative_log_likelihood[as 别名]defcompileFun(model_name, dataset_name, pooling_mode):print"model_name: ", model_nameprint"dataset_name: ", dataset_nameprint"pooling_mode...
finetunining# compute the prediction for an inputself.predict=self.softmax_layer.y_pred# compute the cost for second phase of training,# defined as the negative log likelihoodself.finetune_cost=self.softmax_layer.negative_log_likelihood(self.y)# compute the gradients with respect to the model...
We assume that the log-likelihood of data Y depends on the N × L factors matrix F and J × L loadings matrix W only through Λ. The number of observations is N, number of components is L and number of features is J. For notational simplicity, here we use fil to denote ...
The first one will print them all with equal likelihood; the second one will print a half the time, and each other option a quarter of the time; the third will print c half the time, and each other option a quarter of the time. This can be a bit unintuitive: for a lot of ...
Learning above objective is equivalent to maximizing the likelihood of observing such pairwise ranking relations rui > ruj, which can be replaced by other objectives used in implicit CF problems, such as marginal hinge loss [43] and binary cross-entropy loss [19]. The most widely used pns(j...
we used the edgeR functions glmQLFit and glmQLFTest to perform a quasi-likelihood dispersion estimation and hypothesis testing that assigns FDR values to each gene. In the track scRNAseq plots in Fig.3and Additional file 1: Figure S5, a positive log 2 fold change value for Clone X relativ...
To determine the best-fit parameters, we calculated a likelihood score for each parameter set (ρ, μ) using the distribution of proportions of shared barcodes over five independent runs of the simulation. This was computed as the sum of the likelihoods of observing the proportion of shared ...
(Bajrami et al., 2014, Blazek et al., 2011, Johnson et al., 2016, Joshi et al., 2014, Liang et al., 2015, Wu et al., 2018) and that CDK12 promotes an increase in the rate of elongation reducing the likelihood of cleavage at internal polyadenylation sites and increasing the ...
Log_Likelihood = tf.reduce_mean(Log_Prob)returnLog_Likelihood, Mu, Std 开发者ID:FarhadZanjani,项目名称:Histopathology-Stain-Color-Normalization,代码行数:47,代码来源:GMM_M_Step.py 注:本文中的tensorflow.negative函数示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程...