I want create model with config for which resultat as like below. I mean the ranking of intentions that do not add up to 100%, but each individual intention takes a value in the range of 0-100%.
I need an example configuration in RASA, for which I will not get a ranking of intentions whose values will add up to 100%.
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I have a dataset in which there are Features of both float and object type . I want to apply feature selection On this dataset in such a way that fisrt Find Mutual Information Score of all the features with Target. Then I choose 20 high score feature and do SFFS on them. So, I use mutual_info_classif in my codes but I get this error: could not convert string to float Because of one of my feature (Name=Grade) that is categorical and the unique value of this feature is :A,B,C,D. I have searched for finding the solution and everybody said that in this condition you should use one hot encoding. but I cant understand how to use one hot encoding? because I want to score each feature , not each category of feature. and If for example category=A get high score and category=D get Low score How can I decide to select or not select Grade feature?
I'm currently working on a google sheets file to organize the members of my class. I am currently assigning committees and I want them to choose their committee in Google Sheets. However, I want to apply only a certain limit per committee.
What I want to happen is, if a certain choice has been chosen i.e. 5 times, I would like that choice to disappear from the choices and would make it reappear again if ever a students change their choice, however, I do not know how to do this in terms of a formula or through data validation.
I would really appreciate your help. Thank you!
Here's a toy example you may be able to adapt to your needs:
Create a list of options a,b,c,d,e in A1:E1 of Sheet1
Create a list of the limits for each option in A2:E2 (for instance 2,1,3,5,3)
Create a list of people Person1,Person2,Person3 in G2:G4
Apply data validation to H2:H4:
Use criteria 'drop down (from a range)'
Set the data range to =Sheet1!$A3:$E3 (only lock columns, not rows)
In A3 enter the following formula:
=lambda(people,choices,list,limits,
makearray(counta(people),counta(list),lambda(r,c,
if(index(choices,r)<>index(list,,c),if(countif(choices,index(list,,c))<index(limits,,c),index(list,,c),),index(list,,c)))))(
$G$2:$G$4,$H$2:$H$4,$A$1:$E$1,$A$2:$E$2)
We are using MAKEARRAY to create a 2D array with the list of options on each line, however we are asking it to omit elements of the list from each line if they haven't already been selected AND a preset limit on the number of selections for that option has not been reached. Obviously in a 'real' example you would place the data range for validation in a separate sheet and probably hide and protect that sheet as well. You could also potentially use an array literal of strings rather than a cell range as the list of options in order to make the validation list formula completely self-contained.
I currently have a dataset of speeding fines in NSW.
I've created a bar chart that displays the top 10 frequencies of speeding offenses. These offenses are split up between school zone offenses and normal speeding offenses.
I'm trying to set a parameter control where the end-user can toggle showing the top 10 normal speeding offenses (pink), top 10 school zone offenses (purple) or both together (pink and purple).
I've gotten the below parameter control:
However nothing happens to the bar-chart.
My Dataset looks like the following:
I have a School Zone Indicator boolean that is a Y if the speeding offense occurred during school zone time.
Can someone help me figure out in filtering this out when setting parameter controls?
The answer is based on this article showing how to add all to a parameter in Tableau.
We need to create a parameter with the same values as the field. As your field is either Y or Null let's create a new field to convert the Null to N. Call it isSchool with the formula:
IFNULL([SCHOOL_ZONE_IND],"N")
Create a parameter based on that field with the values Y, N and All. Display As whatever you want, so you can display parameter value All as Show Both if you wish.
Put [isSchool] to filters.
In the filter you want to filter Condition - by Formula. Enter this formula:
IFNULL([isSchool],"1")=IF [YourParam]!="All" THEN [YourParam] ELSE IFNULL([isSchool],"1") END
That should do it.
In QuickSight, when you want to define a constant value to reuse it in visualizations later, you can try to set it as:
Calculated field: goalFor2020
Formula: 20000
But right now it doesn't allow you to put just a number in the formula.
Is there any way to do achieve having just a number in the formula of a calculated field?
The reason we need it is just to have a number that doesn't depend on any data, just manually defined by us.
Interesting, QuickSight lets me insert a number into a calculated field, just fine.
Since that isn't working for you, I'd recommend using a parameter with a default value. For example,
Parameters essentially has the same "rights" as a calculated field (it can be used in visuals, other calculated fields, etc...). It can also be passed via query parameters which may or may not be a feature that you'd find useful.
Another cool benefit of using parameters is that, if you're embedding QuickSight, you could retrieve this value dynamically and pass it to the dashboard. Then if you wanted to, say, generalize your for different yearly goals, the goal could be passed and dynamic (rather than hard-coded in a calculated field).
We could achieve it with a trick, just apply some function that returns a number to one of your columns, and make it 0, then add your constant number:
Calculated field: goalFor2020
Formula: count(email) * 0 + 20000
It does the trick, but there might be a better way to do it.
I have tried something like this:
distinct_countIf({dimension},{dimension}='xxx')*
+distinct_countIf({dimension},{dimension}='xxx')*
just makes the discount_countif meet the requirement, so it will return to 1. And use 1* the number you want to hardcode. If the requirement does not meet, it will return 0 so it won't add up the number
I have 2 data sets for train and test with weka. They both having same amount of attributes and same type data type for variables (numeric or nominal) .But they are not compatible with each other because the order of nominal values is different
ex - Training set
Occupation
1 Doctor 40%
2 Engineer 40%
3 Teacher 20%
Test set
1 Engineer 40%
2 doctor 40%
3 Teacher 20%
So both sets are incompatible. My question is how to change these distinct value order to make them compatible?
It looks a bit like a data pre-processing issue. I am quite curious as to how the training and testing data ended up looking like this!
If you would like to change the nominal values, you could use RenameNominalValues to rename the labels of your data. One possible method is to apply this to your testing data:
This solution assumes that you are dealing with a Nominal attribute, that it is your last attribute and they are labelled as shown in the valueReplacements field.
Failing this, depending on the amount of cases, you could edit the values manually or use your favourite spreadsheet to replace the values.
Hope this Helps!
Use "SwapValues" under unsupervised > attribute