How can I represent an if statement with basic logic gates?
For example I have this if statement:
If(4+7==11)
...
I want to represent it with logic gates.
How can I represent an if statement with basic logic gates?
For example I have this if statement:
If(4+7==11)
...
I want to represent it with logic gates
Related
I created a dataset includes complex numbers (samples of complex signals). The dataset has 80 instances and 1024 attributes, and I need to classify these signals into two classes via Weka. However, the Weka does not deal with complex numbers.
I am just wondering how this can be done?
I tried to change each complex sample into amplitude part {sqrt((real^2)+(imag^2)) and phase {arctan(imag/real)}, but I am confused how to link each amplitude with its corresponding phase when I create the arff file.
Weka has no notion of imaginary numbers, just real-valued ones. You will have to treat the imaginary/real part (or amplitude/phase) as separate attributes. And hope that algorithms will learn a relationship between them.
Of course, you can always engineer additional features to help the learning process, e.g., in which quadrant these such a number is located.
I am trying to setup a formula in one line that will calculate the proper date that a contract can be cancelled based on the Texas Addendum for Property Subject to Mandatory Owner's Association. Depending on 3 possible selections, Section A1, Section A2, or Section A3, the calculations for the possible termination of a contract vary.
My formula's work on their own, but not when combined into one long if statement.
Here are the 3 formula's. All work properly on their own.
=if(E12="A1",if(B17="",B20,B17+3),)
=if(E12="A2",if(B17="","",B17+3),)
=if(E12="A3",if(B17="",B20,""),)
However, when combined into one statement I get an #ERROR!.
I've tried multiple ways to write the formula but all get the same #ERROR!.
=if((E12="A2",if(B17="","",B17+3)),if(e12="A1",if(B17="",B20,B17+3)),if(E12="A3",if(B17="",B20,"")),)
=if((E12="A2",if(B17="","",B17+3)),if(e12="A1",if(B17="",B20,B17+3)),if(E12="A3",if(B17="",B20,""),))
=if((E12="A2",if(B17="","",B17+3),),if(e12="A1",if(B17="",B20,B17+3),),if(E12="A3",if(B17="",B20,""),))
Currently this is working as is as I have a final calculation in the necessary cell that takes the one value greater than zero.
=if(D31>0,D31,if(D32>0,D32,if(D33>0,D33)))
But it's not as clean as I'd like to have it. I'd prefer to have this as one single line calculation instead of in 4 different cells.
proper nesting is done like this:
=IF(E12="A1", IF(B17="", B20, B17+3),
IF(E12="A2", IF(B17="",, B17+3),
IF(E12="A3", IF(B17="", B20, ), )))
This is my doubt. In my Pipeline I've got a parameter provided by the final user. I need to check it to return the right value. So far, I have only seen this structure IF(condition, true, false). But in my scenario this could be complicated to understand/maintain because I would get multiple nested conditions IF(condition, true, IF(Condition, true, ...))
So, I'm wondering if it is possible to get an easier way to write this, something similar to and if-else or case statement. Something like this:
CASE #parameter
WHEN 'A' THEN 1
WHEN 'B' THEN 2
WHEN 'C' THEN 3
ELSE '4'
END
Thank you wBob for providing the solution, posting it as an answer for the reference of other community members.
You could use Switch Activity in Data Flow in Azure Data Factory : The Switch activity provides the same functionality that a switch statement provides in programming languages. It evaluates a set of activities corresponding to a case that matches the condition evaluation.
So I need to make a Decision Table to test a bit of code. The code is simple and straight forward but requires two user inputs to determine two proceeding variables. This is why I need to make this more than a binary (true/false) table.
The user is prompted to input total income, this will, in turn, determine which bracket the user falls into. Then the user is prompted to input the amount of dependents, which will determine the final tax. Depending on the income bracket, a switch statement will then set
tax = income * [certain percentage]. After this the amount of dependents will determine what percentage of the tax will be removed.
Essentially what I need to know is how to set up my Conditions, Actions, and Rules.
Here is an example of decision table but this one is binary (true/false)
I am using Java for the code but that isn't entirely relevant. What I need specifically is deciding what my Conditions should be, whether it's solely income or the combinations of income and dependents, etc. I do not need to write the code, just need to write the test table for it.
If anyone can help inform me as to what I should do or where I should look, that would be appreciated. I am willing to provide anymore information if need be!
Thanks!
If you understand, what the regular (binary) decision table is, then it'll be easy for you to get the extended table as well - the difference is in conditions only.
Conditions in the extended decision table can have more than two values. For example, in your case you have two conditions:
Tax Bracket with values (for example): [0, 9275], [9276, 37650], [37651, 91150] etc.
Number of Dependents with values: 0, 1, 2, 3 etc. (what's the max?)
For Actions I'd choose the tax rate and the deduction amount - they depend on the bracket and on the number of dependents correspondingly.
Rules (=columns in the table) connect conditions and actions - for all the possible combinations of condition values you have a list of actions to perform. In your case these actions will be simply two numbers, which you will use in a tax formula.
(Frankly I don't see why you need a decision table in this case at all... I think, the tax formula with parameters, depending on income, will be enough)
I'm using Heckman Selection Model which are two consist of 2 equation. i'm using Probit as a selection equation and multiple regression as a result equation.
how can put in dummy variables in those equation ?
Do we have to make the variables into logaritmic form ?
How can I make logaritmic variables with stata ?
Thank you..
Here's an example of how you might do what you ask. The example looks at the effect of being a union member on log wages:
webuse union3
gen log_wage = ln(wage)
etregress log_wage age grade i.smsa i.black tenure, treat(union = i.south i.black tenure) twostep
etregress estimates an average treatment effect of an endogenous binary-treatment variable. In plain English, that means the "first-stage" is a probit. Estimation is by either full maximum likelihood or a two-step consistent estimator, as above.
The dummies are created on the fly by putting an i. in front of the covariates. This is called factor variable notation, and it also makes interactions a breeze. You can also do tab race, gen(d_) to create d_1, d_2, and d_3 (3 race dummies, one of which you can drop).