Question: module 'regreg.api' has no attribute 'quadratic'

[ChingzhiWU]

Dear, My environment:

windows 10
Python 3.67
Anaconda3
scipy 1.3.3
regreg 0.1.3 pypi_0 pypi

and after I run this line
loss = rr.quadratic.shift(-Ic,coef=0.5)

the error messages are:

AttributeError Traceback (most recent call last)
in
----> 1 loss = rr.quadratic.shift(-Ic,coef=0.5)

AttributeError: module 'regreg.api' has no attribute 'quadratic'

How to solve this problem? Many thanks!

[jonathan-taylor]

You might want `rr.quadratic_loss` ? Not sure what you expect with a `shift` method. What loss are you trying to create?

…

________________________________ From: ChingzhiWU <notifications@github.com> Sent: Tuesday, December 17, 2019 5:02 AM To: regreg/regreg <regreg@noreply.github.com> Cc: Subscribed <subscribed@noreply.github.com> Subject: [regreg/regreg] Question: module 'regreg.api' has no attribute 'quadratic' (#51) Dear, My environment: windows 10 Python 3.67 Anaconda3 scipy 1.3.3 regreg 0.1.3 pypi_0 pypi and after I run this line loss = rr.quadratic.shift(-Ic,coef=0.5) the error messages are: AttributeError Traceback (most recent call last) in ----> 1 loss = rr.quadratic.shift(-Ic,coef=0.5) AttributeError: module 'regreg.api' has no attribute 'quadratic' How to solve this problem? Many thanks! — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub<#51?email_source=notifications&email_token=AACTM2363KV4A6ARO6NN6KLQZDEVJA5CNFSM4J33DEVKYY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4IBBJHFQ>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AACTM267TVL7LLUZZCMULITQZDEVJANCNFSM4J33DEVA>.

[ChingzhiWU]

Dear Prof. Jonathan Taylor, Many Thanks.

Actually, I want to try to run this website example.

http://statweb.stanford.edu/~bjk/regreg/examples/fusedlassoapprox.html#fusedlassoapprox

Code:
import numpy as np
import pylab
from scipy import sparse

import regreg.api as R

Y = np.random.standard_normal(500); Y[100:150] += 7; Y[250:300] += 14

sparsity = R.l1norm(500, lagrange=1.3)
#Create D
D = (np.identity(500) + np.diag([-1]*499,k=1))[:-1]
D = sparse.csr_matrix(D)
fused = R.l1norm.linear(D, lagrange=25.5)

loss = R.quadratic.shift(-Y)

problem = R.container(loss, sparsity, fused)
solver = R.FISTA(problem)
solver.fit(max_its=800,tol=1e-10)
soln = solver.composite.coefs

#plot solution
pylab.figure(num=1)
pylab.clf()
pylab.plot(soln, c='g')
pylab.scatter(np.arange(Y.shape[0]), Y)

the error messages are:

AttributeError Traceback (most recent call last)
in
14
15
---> 16 loss = R.quadratic.shift(-Y)
17
18

AttributeError: module 'regreg.api' has no attribute 'quadratic'

How to solve this problem? Many thanks!