Saving some files

[JLE64315]

Thank you very much for ELISA:

I am making the most of it. Very useful code.

I have some questions:

How can I save in a text file (CSV, for example):

1. Data of the model fitted in light curve and radial velocities.
2. Residuals for light curve and radial velocities. Thank you very much.

[mikecokina]

We do not support CSV files. ELISa relies on JSON files instead. You can save/load results via save_result/load_results method available on Analytics Task. For example, in demo notebook 12, there is analytics task created as

lst_sqr_task = LCBinaryAnalyticsTask(data={'Kepler': kepler_data}, method='least_squares', expected_morphology="detached")

To save results just use lst_sqr_task.save_result("path/to/file.json").

[JLE64315]

Thank you for your quick response, I have got the result file but what I need the model fitted file.

best regards

El jue, 30 nov 2023 a las 18:44, Mike @.***>) escribió:

We do not support CSV files. ELISa relies on JSON files instead. You can save/load results via save_result/load_results method available on Analytics Task. For example, in demo notebook 12, there is analytics task created as

lst_sqr_task = LCBinaryAnalyticsTask(data={'Kepler': kepler_data}, method='least_squares', expected_morphology="detached")

To save results just use lst_sqr_task.save_result("path/to/file.json").

— Reply to this email directly, view it on GitHub https://github.com/mikecokina/elisa/issues/19#issuecomment-1834263172, or unsubscribe https://github.com/notifications/unsubscribe-auth/AO7YHSVTXLWCHWQ7QCRF4CDYHDAX5AVCNFSM6AAAAABABRTTS6VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQMZUGI3DGMJXGI . You are receiving this because you authored the thread.Message ID: @.***>

-- Javier Lorenzo Espinosa PhD. Ciencias

[JLE64315]

Hello, I think I have found a way to extract the parameters fitted and reproduce the model in a file. Anyway, thank you.

El jue, 30 nov 2023 a las 19:46, JAVIER LORENZO @.***>) escribió:

Thank you for your quick response, I have got the result file but what I need the model fitted file.

best regards

El jue, 30 nov 2023 a las 18:44, Mike @.***>) escribió:

We do not support CSV files. ELISa relies on JSON files instead. You can save/load results via save_result/load_results method available on Analytics Task. For example, in demo notebook 12, there is analytics task created as

lst_sqr_task = LCBinaryAnalyticsTask(data={'Kepler': kepler_data}, method='least_squares', expected_morphology="detached")

To save results just use lst_sqr_task.save_result("path/to/file.json").

— Reply to this email directly, view it on GitHub https://github.com/mikecokina/elisa/issues/19#issuecomment-1834263172, or unsubscribe https://github.com/notifications/unsubscribe-auth/AO7YHSVTXLWCHWQ7QCRF4CDYHDAX5AVCNFSM6AAAAABABRTTS6VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQMZUGI3DGMJXGI . You are receiving this because you authored the thread.Message ID: @.***>

-- Javier Lorenzo Espinosa PhD. Ciencias

-- Javier Lorenzo Espinosa PhD. Ciencias

[JLE64315]

Hello again, what I could not save in a file in the phase versus residuals. If you can help me, I would appreciate it.

Thank you.

El vie, 1 dic 2023 a las 12:42, JAVIER LORENZO @.***>) escribió:

Hello, I think I have found a way to extract the parameters fitted and reproduce the model in a file. Anyway, thank you.

El jue, 30 nov 2023 a las 19:46, JAVIER LORENZO @.***>) escribió:

Thank you for your quick response, I have got the result file but what I need the model fitted file.

best regards

El jue, 30 nov 2023 a las 18:44, Mike @.***>) escribió:

We do not support CSV files. ELISa relies on JSON files instead. You can save/load results via save_result/load_results method available on Analytics Task. For example, in demo notebook 12, there is analytics task created as

lst_sqr_task = LCBinaryAnalyticsTask(data={'Kepler': kepler_data}, method='least_squares', expected_morphology="detached")

To save results just use lst_sqr_task.save_result("path/to/file.json").

— Reply to this email directly, view it on GitHub https://github.com/mikecokina/elisa/issues/19#issuecomment-1834263172, or unsubscribe https://github.com/notifications/unsubscribe-auth/AO7YHSVTXLWCHWQ7QCRF4CDYHDAX5AVCNFSM6AAAAABABRTTS6VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQMZUGI3DGMJXGI . You are receiving this because you authored the thread.Message ID: @.***>

-- Javier Lorenzo Espinosa PhD. Ciencias

-- Javier Lorenzo Espinosa PhD. Ciencias

-- Javier Lorenzo Espinosa PhD. Ciencias