PyTorch Release Noteswebsite ‣ PyTorch project This document provides information about the key features, software enhancements and improvements, known issues, and how to run this container. PyTorch RN-08516-001_v23.07 Deep Learning Frameworks Support Matrix. Key Features and Enhancements This PyTorch release includes the following key features and enhancements. ‣ PyTorch container image version 23.07 is based on 2.1 transformer-based language model has a segment-level recurrence and a novel relative positional encoding. The enhancements that were introduced in Transformer-XL help capture better long-term dependencies by attending0 码力 | 365 页 | 2.94 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.32017) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2.1 Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.2 Performance to_datetime() has gained an origin parameter . . . . . . . . . . . . . . . 12 1.3.1.4 Groupby Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 1.3.1.5 Better support for . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 1.3.1.13 Other Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 1.3.2 Backwards incompatible0 码力 | 2045 页 | 9.18 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.22017) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1.1 Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1.2 Performance to_datetime() has gained an origin parameter . . . . . . . . . . . . . . . 10 1.2.1.4 Groupby Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.2.1.5 Better support for . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 1.2.1.13 Other Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 1.2.2 Backwards incompatible0 码力 | 1907 页 | 7.83 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.21.1Improvements to the Parquet IO functionality . . . . . . . . . . . . . . . . . . . . 4 1.1.2.2 Other Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1.3 Deprecations . . 8 Categorical.rename_categories accepts a dict-like . . . . . . . . . . . . 13 1.2.1.9 Other Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.2.2 Backwards incompatible . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 1.4.1 Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 1.4.20 码力 | 2207 页 | 8.59 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.19.0. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Google BigQuery Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Fine-grained numpy errstate development API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Other enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 1.1.2 API changes Datetimes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 Other Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 1.2.2 Sparse0 码力 | 1937 页 | 12.03 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.19.1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Google BigQuery Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Fine-grained numpy errstate development API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Other enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 1.2.2 API changes Datetimes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 Other Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 1.3.2 Sparse0 码力 | 1943 页 | 12.06 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.17.0a major release from 0.16.2 and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. We recommend that all users eval() – Changes to Excel with MultiIndex – Google BigQuery Enhancements – Display Alignment with Unicode East Asian Width – Other enhancements • Backwards incompatible API changes – Changes to sorting able to be read in, but the has_index_names argument must specified to True. Google BigQuery Enhancements • Added ability to automatically create a table/dataset using the pandas.io.gbq.to_gbq() function0 码力 | 1787 页 | 10.76 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.0.0major releases (except for experimental features) See Version Policy for more. {{ header }} 1.2 Enhancements 1.2.1 Using Numba in rolling.apply and expanding.apply We’ve added an engine keyword to apply() Experimental new features 7 pandas: powerful Python data analysis toolkit, Release 1.0.0 1.4 Other enhancements • DataFrame.to_string() added the max_colwidth parameter to control when wide columns are trun- of object dtype arrays of strings and arrays.StringArray are about the same. We expect future enhancements to significantly increase the performance and lower the memory overhead of StringArray. Warning:0 码力 | 3015 页 | 10.78 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.25.0changes in pandas 0.25.0. See release for a full changelog including other versions of pandas. 1.1 Enhancements 1.1.1 Groupby aggregation with relabeling Pandas has added special groupby behavior, known as 3), ( 'a', 4), ( 'a', 5), ( 'a', 6), ( 'a', 7), ( 'a', 8), (continues on next page) 1.1. Enhancements 5 pandas: powerful Python data analysis toolkit, Release 0.25.0 (continued from previous page) Out[14]: var1 var2 0 a 1 0 b 1 0 c 1 1 d 2 1 e 2 1 f 2 [6 rows x 2 columns] 1.1.7 Other enhancements • DataFrame.plot() keywords logy, logx and loglog can now accept the value 'sym' for symlog scaling0 码力 | 2827 页 | 9.62 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.25.1changes in pandas 0.25.0. See release for a full changelog including other versions of pandas. 1.1 Enhancements 1.1.1 Groupby aggregation with relabeling Pandas has added special groupby behavior, known as 2), ( 'a', 3), ( 'a', 4), ( 'a', 5), ( 'a', 6), ( 'a', 7), (continues on next page) 1.1. Enhancements 5 pandas: powerful Python data analysis toolkit, Release 0.25.1 (continued from previous page) Out[14]: var1 var2 0 a 1 0 b 1 0 c 1 1 d 2 1 e 2 1 f 2 [6 rows x 2 columns] 1.1.7 Other enhancements • DataFrame.plot() keywords logy, logx and loglog can now accept the value 'sym' for symlog scaling0 码力 | 2833 页 | 9.65 MB | 1 年前3
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