Jump to content

Jitesh Vachheta

Members
  • Posts

    12
  • Joined

  • Last visited

Posts posted by Jitesh Vachheta

  1. Hi All,

    I'm trying to repeat one signal on continuous basis over the period of time.I have gone through "Repeating a signal into the future" Forum on SEEQ Community, on the basis of that i have tried and make the signal.

    Where in i get half of the signal and also gaps in between.

    image.thumb.png.d5eac037892ae1f46be337b03f7ddfa5.png

     

    Regards,

    Jitesh Vachheta

  2. On 2/14/2019 at 11:53 PM, Chris Orr said:

    Hi Krish ,

    Use the following inputs in the Reference Profile to get the result your looking for:

    • green curve as your Input Signal
    • January 1st, 2000 condition as the Input Condition
    • Set the Reference Statistic to Average
    • Under Advanced, change the apply to Condition to your Periodic Condition of days created above. 

    I have follow the steps that you mentioned above , But i'm facing two problems

    1.Entire signal is not being plot on the chart.

    2.There were little gaps in between the signals as mentioned in the below screenshot.

    image.thumb.png.4101f8e87a8bbd4429fc29f3cb23e9ff.png

     

    On 2/14/2019 at 11:53 PM, Chris Orr said:

     

     

     

  3. Hi All,

    I'm trying to perform Multiple IF Statement in seeq but don't have any clarity as to how should i perform.

    Can anyone tell me how should i apply it.

    I have gone through the Below links as well which are already available in seeq forum,it seems they're not helping either.

    Link :- 

     

    Regards,

    Jitesh Vachheta

     

     

     

     

     

  4. Hi All,

    I'm tying to upload a time series data which is like huge number of observation (around 600K observations) through CSV option.

    While uploading a file i'm getting an error as below.

    image.png.d8d56285bbf67646184804ddefbe4a9a.png

     

    Could anyone please help me to resolve this problem.

    Note :- I have also convert the timestamp to seek compatible time stamp (yyyy-mm-ddThh:mm:ss)

    Regards,

    Jitesh Vachheta

     

  5. Hi All,

    I'm working on some data , wherein i have 6 Independent variable and 1 dependent variable.

    while running the Regression model on this data, i get very less Accuracy of model as mentioned in below screenshot.

    image.png.e20ff2a597eb241f13feddef66538965.png

    Note :- As far as data Pre-processing is concern , i have scale the features and also imputes the missing values on the basis of mean imputation.

    Do let me know if there's any pre-processing feature is there in seek to deal with data.

     

    Regards,

    JItesh Vachheta

     

  6. Hi Teddy,

    While Applying your solution for removing an edges, i'm getting an error as below.

    Formula Failed
    token recognition error at: '#' at '', line=1, column=0 (GET /api/formulas/compile 400 Bad Request)
     
    i have tried with the same  data set as you selected in above example (ID_FAN_MOTOR,ID_FAN_VIBRATION)
     
    Regards,
    Jitesh
  7. Hey Danilo,

    Would you mind sharing some code snippet or something to demonstrate.

    Lets say you have a scalar values like "I/O Error".Now how can you remove this and replace the respective missing spots with mean or median.

    Regards,

    Jitesh Vachheta

  8. Hi All,

    I've uploaded one sample file wherein i have 11 columns with Timestamp.Now in order to import all the 10 columns.

    I have to reiterate the entire activity 10 times to upload all the column into SEEQ. Do any one know how do we import all the columns in one go in Import CSV Function.

    Note :- Few Columns have difference in unit of measurement.will there be any issue if we ignore this.

    Regards,

    Jitesh Vachheta

  9. Hi All,

    I've got few Scaler values in my data-set (E.g High,On,OFF) , I have convert all of them into Capsule by toCapsule() Function.

    Now wanted to remove only those capsules which are having "OFF" Status.

    Regards,

    Jitesh Vachheta

    Scaler_Values.jpg

×
×
  • Create New...