Introduction: From the version 10.0.10 Platform update 34, Microsoft has added a new feature Message::AddAction() which is shown in the message bar.  Details: Message API associated with display or action menu items, which is visualized as a hyperlink/link button.  It is linked with a single record at a time, called single action. In below taken example, we will show sales order is navigated to the form SalesTable from the message bar. For testing it, we’ll create the runnable class also know as job in AX 2012.  class CFSMessageAPI { public static void main(Args _args) { SalesTable salesTable = SalesTable::find(‘SH-000121′); MenuItemMessageAction actionData = new MenuItemMessageAction(); actionData.MenuItemName(menuItemDisplayStr(SalesTable)); actionData.TableName(tableStr(SalesTable)); actionData.RecId(salesTable.RecId); str jsonData = FormJsonSerializer::serializeClass(actionData); int64 messageId = Message::AddAction(MessageSeverity::Informational, “Sales order details”, salesTable.customerName(), MessageActionType::DisplayMenuItem, jsonData); } } Let’s see how it works,  In my case it’s showing Mitchell. Click on the link.  After clicking on the action link, it is navigated to the sales order record form as shown in the above link.  Hurray, How pretty feature is released !!! Conclusion: In above example, we have seen how Message API is routed to the record. Thanks for reading !!!

“Run Jobs” – as the name suggests is a process between Retail Channels and Retail essentials through which we transfer data between channels and database. Please Note: Jobs Run at a specified time which may be different for every Retail Scheduler. Be aware of what the time is set for jobs to run automatically.  Running jobs at a specific time requires setting to be done so that we can schedule a specific job to run at specific time. It can be easily done manually. You’ll have to follow the below steps: Step 1: Go to distribution schedule or Channel database in Retail Dynamics 365. If the job doesn’t run from distribution schedule run it through channel database. Step 2: Go to download sessions and make sure your Job is available or in applied state. If it is in available state, go to “Batch Jobs“. Step 3: Now you will have to find the same batch job that you were searching and need to run it at a specified time. Step 4: Here, since the Job is in waiting state, you need to change it’s scheduled date and time to current time. This change must be according to the time at which you want your job needs to be run. The specified time will make your job run immediately.   Step 5: You can check if Job is being applied in “Download sessions” whenever required. Step 6: You can also change how often the job should run from going to Recurrence. Step 7: Only things highlighted in Red boxes should be checked. Hope this helps!!! Thank you! Please feel free to post any doubts you have.

Sorting can be used for defining an order direction for your Custom Visual. There are 3 different ways using which you or a user using your visual can sort your visual. They are as follows: Default Sorting: This is the easiest sorting option and gives users the ability to sort the visual by any field used in the visual. The following code needs to be added to the capabilities.json file.  “sorting”: { “default”: { } } After this the user will get the below sorting option: Implicit Sorting: Implicit Sorting can be used for pre-defining your sorting order in your capabilities.json file. Here, the user cannot manually change the sorting order. This can be done with the following code block where direction 1 is ascending and 2 is descending. Role is the data mapping name for which you would like to define your sorting. “sorting”: {         “implicit”: {             “clauses”: [                 {                     “role”: “category”,                     “direction”: 1                 }                 ]         }     } Custom Sorting: Custom sorting can be used for defining sorting in your visual.ts file and not in the capabilities.json file. Since you are defining your sorting order in your code, you can use various different logics to define your sorting(For example, you can define a formatting toggle option in the format pane that will sort the visual when turned on). A simple codeblock that can be used for sorting your datapoints in ascending order is as follows. sort((obj2, obj1) => { if (obj2.category< obj1.category)  return -1 else return 1; }); With so many options available, it is pretty easy create a visual just the way the user wants.

Introduction: Microsoft released a PDF cheat sheet of which machine learning algorithms can be used on Azure Machine Learning Studio. This Microsoft Azure Machine Learning Algorithm Cheat Sheet helps you choose the right machine learning algorithm for your predictive analytics solutions from the Microsoft Azure Machine Learning library of algorithms. The algorithms have been grouped in 5 different groups. These groups are: Regression: For predicting values. For Example when predicting a stocks price. Anomaly detection: For finding unusual data points. For example, any highly unusual credit card spending patterns which deviates from the normal credit card spending patterns. Clustering: The data points have no labels associated with them. Instead, the goal of an unsupervised learning algorithm is to organize the data in some way or to describe its structure. For example, discovering companies with similar marketing strategies. Two-class classification: When there are only two choices, it’s called two-class or binomial classification. For example distinguishing between a Cat or Dog. Multi-class classification: For predicting three or more categories. For Example predicting the winner of a Race. To read the cheat sheet, read the path and algorithm labels on the chart as “For <path label>, use <algorithm>.” For example, “For speed, use two class logistic regression.” Sometimes more than one branch applies. In this case it is better to create scored models with both the algorithm and compare both of their accuracy to decide which algorithm is the better fit. Even a beginner can easily use the cheat sheet provided to select which algorithm is apt for creating their predictive solution. There are some generalizations and oversimplifications, but it points you in a safe direction. It also means that there are lots of algorithms not listed here but these many algorithms are more than enough to give you a good head start in the ML world.