[Buyers Guide_DRAFT_REVIEW_V3] Rancher 2.6, OpenShift, Tanzu, AnthosAdvanced Cluster Management for Kubernetes (RHACM), VMware Tanzu Mission Control with Tanzu Kubernetes Grid Integrated Edition (collectively referred to as Tanzu in this guide), Google Anthos with Anthos GKE install OpenShift clusters and achieve day two operations. 3.1.1.3 Tanzu Tanzu Kubernetes Grid Integrated Edition (TKGI) ships an installer that runs from the local computer. Installation of the business continuity solution for stateful applications on OpenShift. 3.1.4.3 Tanzu Tanzu Kubernetes grid can deploy and support multiple clusters through the open source Cluster API. This includes on-premises0 码力 | 39 页 | 488.95 KB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.15. . 323 11 Options and Settings 325 11.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325 11.2 Getting and Setting Options . . . . . . . . . . . . . 326 11.3 Setting Startup Options in python/ipython Environment . . . . . . . . . . . . . . . . . . . . . . . . 327 11.4 Frequently Used Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327 11.5 List of Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 333 11.6 Number Formatting . . . . . .0 码力 | 1579 页 | 9.15 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.15.1. . 315 11 Options and Settings 317 11.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317 11.2 Getting and Setting Options . . . . . . . . . . . . . 318 11.3 Setting Startup Options in python/ipython Environment . . . . . . . . . . . . . . . . . . . . . . . . 319 11.4 Frequently Used Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319 11.5 List of Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325 11.6 Number Formatting . . . . . .0 码力 | 1557 页 | 9.10 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.13.1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211 9.13 Working with package options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218 9.14 Console Output user is assigning to a copy. This can be changed with the option mode.chained_assignment, allowed options are raise/warn/None. See the docs. In [5]: dfc = DataFrame({’A’:[’aaa’,’bbb’,’ccc’],’B’:[1,2,3]}) 306681 2001-01-04 1.026208 2001-01-05 -0.538879 Freq: D, Name: B, dtype: float64 • In pd.io.data.Options, – Fix bug when trying to fetch data for the current month when already past expiry. 52 Chapter0 码力 | 1219 页 | 4.81 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.12. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161 8.13 Working with package options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168 8.14 Console Output 995631 2001-01-04 -0.755777 2001-01-05 0.118077 Freq: D, Name: B, dtype: float64 • In pd.io.data.Options, – Fix bug when trying to fetch data for the current month when already past expiry. – Now using month and year of the option’s expiry. – Options.get_near_stock_price now allows the user to specify the month for which to get rele- vant options data. – Options.get_forward_data now has optional kwargs0 码力 | 657 页 | 3.58 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.17.0. . 393 12 Options and Settings 395 12.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 395 12.2 Getting and Setting Options . . . . . . . . . . . . . 396 12.3 Setting Startup Options in python/ipython Environment . . . . . . . . . . . . . . . . . . . . . . . . 397 12.4 Frequently Used Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397 12.5 List of Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403 12.6 Number Formatting . . . . . .0 码力 | 1787 页 | 10.76 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.14.0. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238 9.13 Working with package options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245 9.14 Console Output (GH4553) 1.1.3 Text Parsing API Changes read_csv()/read_table() will now be noiser w.r.t invalid options rather than falling back to the PythonParser. • Raise ValueError when sep specified with delim_whitespace=True ValueError when engine=’c’ specified with unsupported options in read_csv()/read_table() (GH6607) • Raise ValueError when fallback to python parser causes options to be ignored (GH6607) • Produce ParserWarning0 码力 | 1349 页 | 7.67 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.7.3What’s New pandas: powerful Python data analysis toolkit, Release 0.7.3 • Add log x and y scaling options to DataFrame.plot and Series.plot • Add kurt methods to Series and DataFrame for computing kurtosis (PR563) • Add logy option to Series.plot for log-scaling on the Y axis • Add index and header options to DataFrame.to_string • Can pass multiple DataFrames to DataFrame.join to join on index (GH115) • Can append single rows (as Series) to a DataFrame • Add Spearman and Kendall rank correlation options to Series.corr and DataFrame.corr (GH428) • Added get_value and set_value methods to Series, DataFrame0 码力 | 297 页 | 1.92 MB | 1 年前3
《Efficient Deep Learning Book》[EDL] Chapter 7 - Automationimpact when both are used together? We have four options: none, quantization, clustering, and both. We would need to train a model with each of these four options to make an informed decision. Blessed with intervention. Now, let's talk about a few search strategies starting with Grid Search. Grid Search A simple algorithm for automating HPO is Grid Search (also referred to as Parameter Sweep), where the trial set example, the trial set for two hyperparameters and where and is Figure 7-2 (a) shows results of grid search trials with two hyperparameters and . The blue contours mark the positive results while the0 码力 | 33 页 | 2.48 MB | 1 年前3
OpenShift Container Platform 4.10 虚拟化点 OpenShift Virtualization Operator Deployment 选项卡。 5. 点击包含 kubevirt-hyperconverged 自定义资源 行中的 Options 菜单。在展开的菜单 中,点击 Delete HyperConverged Cluster。 6. 在确认窗口中点击 Delete。 7. 进入 Workloads → Pods 页面,验证是否只有 Namespace 选项不可用。 流程 流程 1. 导航至 Administration → Namespaces。 2. 在命名空间列表中找到您要删除的命名空间。 3. 在命名空间列表的右侧,从 Options 菜单 中选择 Delete Namespace。 4. 当 Delete Namespace 页打开时,在相关项中输入您要删除的命名空间的名称。 5. 点击 Delete。 4.7.如果该端口可用,则指定端口号用于在指定端口上运行代理。 如果没有指定端口号,代理会在随机端口上运行。 $ virtctl image-upload -h $ virtctl options OpenShift Container Platform 4.10 虚 虚拟 拟化 化 42 1 virtctl image-upload dv --image-path= 0 码力 | 307 页 | 3.45 MB | 1 年前3
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