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  • pdf文档 AWS LAMBDA Tutorial

    ..................................................................... 29 Example: Creating a Function ............................................................................................... .................................. 32 AWS Lambda iii Parts of AWS Lambda Function ............................................................................................... .. 50 4. AWS LAMBDA — BUILDING THE LAMBDA FUNCTION ............................................................. 52 Steps for Building a Lambda function ...........................................
    0 码力 | 393 页 | 13.45 MB | 1 年前
    3
  • epub文档 BAETYL 1.0.0 Documentation

    connect to Hub Service Message transferring among devices with Hub Service Message handling with Function Service Message Synchronize between baetyl-hub and Baidu IoTHub via Remote Service Image capturing low-latency computing services, and include device connect, message routing, remote synchronization, function computing, video access pre-processing, AI inference, device resources report etc. The combination Advantages Shielding Computing Framework: Baetyl provides two official computing modules(Local Function Module and Python Runtime Module), also supports customize module(which can be written in any programming
    0 码力 | 135 页 | 15.44 MB | 1 年前
    3
  • pdf文档 BAETYL 1.0.0 Documentation

    . . . . . . . . . . . 37 6.4 baetyl-function-python . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 6.5 baetyl-function-node . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 9 Message handling with Function Service 61 9.1 Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86 12 How to write a python script for Python runtime 89 12.1 Function Name Convention . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91
    0 码力 | 145 页 | 9.31 MB | 1 年前
    3
  • pdf文档 BAETYL 0.1.6 Documentation

    . . . . . . . . . . . . 37 6.5 baetyl-function-manager Configuration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 6.6 baetyl-function-python Configuration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 9 Message handling with Local Function Service 59 9.1 Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70 11 How to write a python script for Python runtime 79 11.1 Function Name Convention . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81
    0 码力 | 120 页 | 7.27 MB | 1 年前
    3
  • epub文档 BAETYL 0.1.6 Documentation

    Application Configuration baetyl-agent Configuration baetyl-hub Configuration baetyl-function-manager Configuration baetyl-function-python Configuration baetyl-remote-mqtt Configuration baetyl-timer Configuration among devices with Local Hub Service Workflow Message Routing Test Message handling with Local Function Service Workflow Message Handling Test Message Synchronize between Baetyl-Hub and Baidu IoTHub to write a python script for Python runtime Function Name Convention Parameter Convention Hello World How to write a javascript for Node runtime Function Name Convention Parameter Convention Hello World
    0 码力 | 119 页 | 11.46 MB | 1 年前
    3
  • pdf文档 keras tutorial

     Sum of input along with activation function represents neurons. Sum actually means computed value of all inputs and activation function represent a function, which modify the Sum value into 0, 1 Convolution layer: It is the primary building block and perform computational tasks based on convolution function.  Pooling layer: It is arranged next to convolution layer and is used to reduce the size of learn by training and finally do to prediction. This step requires us to choose loss function and Optimizer. loss function and Optimizer are used in learning phase to find the error (deviation from actual
    0 码力 | 98 页 | 1.57 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.14.0

    statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209 9.6 Function application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . a’) with no complaints from pandas about am- biguity of the name a. – The top-level pandas.eval() function does not allow you use the ’@’ prefix and provides you with an error message telling you so. – ensure that the name attribute of the original series is propagated to the result (GH6265). – If the function provided to GroupBy.apply returns a named series, the name of the series will be kept as the name
    0 码力 | 1349 页 | 7.67 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.13.1

    statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182 9.6 Function application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . compare if two NDFrames are equal have equal axes, dtypes, and values. Added the array_equivalent function to compare if two ndarrays are equal. NaNs in identical locations are treated as equal. (GH5283) columns, or the function being applied would be called with an empty Series to guess whether a Series or DataFrame should be returned: In [31]: def applied_func(col): ....: print "Apply function being called
    0 码力 | 1219 页 | 4.81 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.7.2

    statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 6.5 Function application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . from a level (GH159) 1.1.2 Performance improvements • Use khash for Series.value_counts, add raw function to algorithms.py (GH861) • Intercept __builtin__.sum in groupby (GH885) 1.2 v.0.7.1 (February pandas: powerful Python data analysis toolkit, Release 0.7.2 1.2.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method
    0 码力 | 283 页 | 1.45 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.7.1

    statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 6.5 Function application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . few new features and addresses over a dozen bugs in 0.7.0. 1.1.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (#774) • Add itertuples method obtain a DataFrame (#787) 1.2 v.0.7.0 (February 9, 2012) 1.2.1 New features • New unified merge function for efficiently performing full gamut of database / relational-algebra operations. Refactored existing
    0 码力 | 281 页 | 1.45 MB | 1 年前
    3
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