python3.7/site-packages/numpyro/infer/mcmc.py in _laxmap(f, xs) 158 for i in range(n): 159 x = jit(_get_value_from_index)(xs, i) --> 160 ys.append(f(x)) 161 162 return tree_map(lambda *args: jnp.stack(args), *ys) /opt/conda/lib/python3.7/site-packages/numpyro/infer/...
(四)完整程式码 Python source code:plot_lda.py from__future__importdivision importnumpyasnp importmatplotlib.pyplotasplt fromsklearn.datasetsimportmake_blobs fromsklearn.discriminant_analysisimportLinearDiscriminantAnalysis n_train=20# samples for training n_test=200# samples for testing n_averages=50...
from __future__ import division from __future__ import print_function import numpy as np from tensorflow.python.framework import dtypes from tensorflow.python.framework import ops from tensorflow.python.framework import random_seed from tensorflow.python.ops import array_ops from tensorflow.python.ops...
tf.random_normal 从正态分布输出随机值。 shape:一个一维整数张量或Python数组。代表张量的形状。mean:数据类型为dtype的张量值或Python值。是正态分布的均值。stddev:数据类型为dtype的张量值或Python值。是正态分布的标准差dtype: 输
Unlike chimeric antigen receptors, T-cell receptors (TCRs) can recognize intracellular targets presented on human leukocyte antigen (HLA) molecules. Here we demonstrate that T cells expressing TCRs specific for peptides from the intracellular lymphoid
Random rotation and random horizontal flip were applied in data augmentation of each image in the training dataset to train the feature decomposing networks and comparative models. 4.3. Implementation All experiments were implemented in Python 3.7 with PyTorch library 1.6.0 and Torchvision 0.7.0 (...
Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA Jim Clauwaert & John R. Prensner Chad Carr Pediatric Brain Tumor Center, University of Michigan, Ann Arbor, MI, USA Jim Clauwaert & John R. Prensner ...
In order to better understand the relationship between normal and neoplastic brain, we combined five publicly available large-scale datasets, correcting for batch effects and applying Uniform Manifold Approximation and Projection (UMAP) to RNA-Seq data. We assembled a reference Brain-UMAP including 702...
Child Health Division, Menzies School of Health Research, Charles Darwin University, PO Box 41096, Casuarina, NT, 0811, Australia Anne B. Chang Australian Centre for Health Services Innovation, Queensland University of Technology, Level 7, 62 Graham St, South Brisbane, QLD, 4101, Australia Anne ...
They add that, as in the normal distribution, an additive 68–95–99.7 rule applies (i.e., the arithmetic value plus and minus one, two, or three standard deviations), so also in the Lognormal distribution a multiplicative 68–95–99.7 rule emerges for iterative multiplication and division ...