解决 FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is d

最新推荐文章于 2020-07-15 10:55:26 发布
原创 最新推荐文章于 2020-07-15 10:55:26 发布 · 4.9k 阅读 · 5 ·
CC 4.0 BY-SA版权
版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。

本文解决了一个在导入TensorFlow时遇到的错误，该错误源于h5py包版本过低。通过升级h5py包，成功解决了问题。
部署运行你感兴趣的模型镜像

问题：在执行import tensorflow的时候报出如下错误：

在这里插入图片描述
D:\Anaconda\lib\site-packages\h5py\__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype fromfloattonp.floatingis deprecated. In future, it will be treated asnp.float64 == np.dtype(float).type. from ._conv import register_converters as _register_converters

从错误中可以看错是h5py包问题，初步判断是h5py包版本太低问题，于是考虑升级h5py包：
pip install --upgrade h5py
升级之后问题解决：

在这里插入图片描述

您可能感兴趣的与本文相关的镜像

TensorFlow-v2.15

TensorFlow-v2.15

TensorFlow

TensorFlow 是由Google Brain 团队开发的开源机器学习框架,广泛应用于深度学习研究和生产环境。 它提供了一个灵活的平台,用于构建和训练各种机器学习模型

FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is depr
十里倾城
04-13 1万+
运行tensorflow测试程序时，出现：FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. ...
解决FutureWarning: using a dict on a Series for aggregation is deprecated and will be removed方案
主、Lantu的博客
09-19 2102
报错信息： FutureWarning: using a dict on a Series for aggregation is deprecated and will be removed in a future version. Use named aggregation instead. >>> grouper.agg(name_1=func_1, name_2=func_...
FutureWarning: using a dict on a Series for aggregation is deprecated and will be removed
07-15 2542
在学习Pandas过程中，碰到了下面的一个警告虽然说不是什么错误，但是看到这种警告就是让人不舒心。 这是我写的代码 #打印出每个大陆对spirit饮品消耗的平均值，最大值和最小值 spirit = drinks.groupby('continent')['spirit_servings'].agg({"spirit_avg":'mean','spirit_max':'max','spirit_min':'min'}) 然后运行的时候出现下面警告 错误大致的意思是：未来警告：使用序列上的dict
解决FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating`
hexile8633的博客
08-15 632
解决编译错误FutureWarning: Conversion of the second argument of issubdtype fromfloattonp.floatingis deprecated. In future, it will be treated asnp.float64 == np.dtype(float).type. 原因：包内出错，是h5py包 解决办法：对h5p...
futurewarning: conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. in future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters
06-28
回答1：</h3><br/>这是一个警告信息，意思是将`issubdtype`函数的第二个参数从`float`转换为`np.floating`已经过时了。将来，它将被视为`np.float64 == np.dtype(float).type`。这个警告信息来自`._conv`模块的`...
解决Python中FutureWarning: `np.complex128 == np.dtype(complex).type`.问题
zouqican的博客
07-23 4000
今天使用python进行数据科学可视化，运行文件时出现： Warning (from warnings module):   File "C:\Users\zouqican\AppData\Local\Programs\Python\Python36\lib\site-packages\tvtk\array_handler.py", line 268     assert not numpy.i...
``` !mkdir -p ~/.keras/datasets !cp work/mnist.npz ~/.keras/datasets/ import warnings warnings.filterwarnings("ignore") from keras.datasets import mnist #train_images 和 train_labels 组成了训练集（training set），模型将从这些数据中进行学习。 #然后在测试集（test set，即 test_images 和 test_labels）上对模型进行测试。 (train_images, train_labels), (test_images, test_labels) = mnist.load_data() train_images.shape#看下数据的维度 len(train_labels) train_labels test_images.shape len(test_labels) test_labels from keras import models from keras import layers # 构建神经网络模型 network = models.Sequential() network.add(layers.Dense(512, activation='relu', input_shape=(28 * 28,))) network.add(layers.Dense(10, activation='softmax')) network.compile(optimizer='rmsprop', loss='categorical_crossentropy', metrics=['accuracy']) train_images = train_images.reshape((60000, 28 * 28)) train_images = train_images.astype('float32') / 255 test_images = test_images.reshape((10000, 28 * 28)) test_images = test_images.astype('float32') / 255 from keras.utils import to_categorical train_labels = to_categorical(train_labels) test_labels = to_categorical(test_labels) network.fit(train_images, train_labels, epochs=5, batch_size=128) test_loss, test_acc = network.evaluate(test_images, test_labels) print('test_acc:', test_acc)```/opt/conda/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters
最新发布
04-08
/opt/conda/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. ``` 这是一条来自 h5py 库未来版本...
利用TfidfVectorizer+朴素贝叶斯进行文本分类
淮南草的博客
08-06 5186
处理流程一般为：      提取特征数据集 标签 并向量化      选择合适的分类器构建模型      对模型进行验证 案例： from sklearn.datasets import fetch_20newsgroups from sklearn.cross_validation import cross_val_score from sklearn.feature_extract...
FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating`
weixin_38582851的博客
05-21 788
pip install -i  https://pypi.tuna.tsinghua.edu.cn/simple/  h5py==2.8.0rc1
解决FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating`...
weixin_41550993的博客
08-13 772
当运行如下代码时： import numpy import tensorflow / import h5py 出现如下错误： ***\h5py\_init_.py:26：FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated....
futureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is
沐沐
05-15 1128
完整报错： FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type. from ._conv impo...
成功解决h5py\_init_.py:26：FutureWarning: Conversion of the second argument of issubdtype from `float` to
qq_34062754的博客
06-27 278
解决问题 h5py\_init_.py:26：FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type...
评论 3
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
表情包 代码片
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付：10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。

余额充值