This information is then followed by three kinds of neural layers which specify the architecture of the neural network model being represented in the PMML document. Number of Layers (attribute numberOfLayers).Activation Function (attribute activationFunction).Algorithm Name (attribute algorithmName).E.g., A multi-layered feedforward neural network is represented in PMML by a "NeuralNetwork" element which contains attributes such as: Model: contains the definition of the data mining model.Aggregation: used to summarize or collect groups of values.Functions (custom and built-in): derive a value by applying a function to one or more parameters.Value mapping: map discrete values to discrete values.Discretization: map continuous values to discrete values.Normalization: map values to numbers, the input can be continuous or discrete.PMML defines several kinds of simple data transformations. Data Transformations: transformations allow for the mapping of user data into a more desirable form to be used by the mining model.Depending on this definition, the appropriate value ranges are then defined as well as the data type (such as, string or double). It is here that a field is defined as continuous, categorical, or ordinal (attribute optype). Data Dictionary: contains definitions for all the possible fields used by the model.It also contains an attribute for a timestamp which can be used to specify the date of model creation. Header: contains general information about the PMML document, such as copyright information for the model, its description, and information about the application used to generate the model such as name and version.Multiple copy discount from 11 courses upwards.A PMML file can be described by the following components: Usual course price: £97 for first 10 courses. A verified option of the IMDG Code certificate is available. The online training course includes tests at the end of each element to ensure an understanding of learning topics and a final course completion certificate. The Amendment 40-20 courses are open book and include hyperlinks in the course to help with your training experience. The course can be purchased with additional modules, a 49 CFR and an ADR module, which look at additional requirements in those regulations when shipping under IMDG Code provisions. In-depth training on documentation requirements and completion procedures.additional provisions concerning transport, including emergency response provisions.requirements for limited quantities and excepted quantities shipments.CTU marking and placarding requirements.package marking and labelling requirements.dangerous goods classification and identification provisions.It provides suitable function specific IMDG training online for those personnel who may not be covered by the more ‘hands on’ Function Specific courses. This Function Specific course is designed to meet the training requirements in 1.3.1.2.1 and 1.3.1.2.2 of the IMDG Code. The IMDG Code Standard course Amendment 40-20 is IMDG training online for general shipping personnel such as booking office staff, administrators, customer support and office personnel who require a sound working knowledge of the IMDG Code and dangerous goods shipping requirements. IMDG Code consignor / freight forwarder.Dangerous goods transport general awareness.IMDG Code shore-side e-learning (Amdt 40-20).Supply Chain Incident Analysis and Reporting Team (SCIART).Automation, Digital & Innovation Working Group.
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