error message when running the code.

[peter308]

Dear developer

When I try to run your code, it shows the below error message:

TypeError Traceback (most recent call last)
in ()
30 # fit the model to the data and get back the params
31
---> 32 tc, m, w, a, b, c, c1, c2, O, D = lppls_model.fit(MAX_SEARCHES)
33
34 # visualize the fit

TypeError: fit() missing 1 required positional argument: 'max_searches'

Can you help to solve it? Tks!

with regards,
Peter

[Joshwani]

Hi @peter308, are you able to provide your code? Thanks!

[peter308]

Dear Joshwani

I am just using your Juypter code in the example section

"
from lppls import lppls, data_loader
import numpy as np
import pandas as pd
from datetime import datetime as dt
%matplotlib inline

read example dataset into df
data = data_loader.nasdaq_dotcom()

convert time to ordinal
time = [pd.Timestamp.toordinal(dt.strptime(t1, '%Y-%m-%d')) for t1 in data['Date']]

create list of observation data
price = np.log(data['Adj Close'].values)

create observations array (expected format for LPPLS observations)
observations = np.array([time, price])

set the max number for searches to perform before giving-up
the literature suggests 25
MAX_SEARCHES = 25

instantiate a new LPPLS model with the Nasdaq Dot-com bubble dataset
lppls_model = lppls.LPPLS(observations=observations)

fit the model to the data and get back the params
tc, m, w, a, b, c, c1, c2, O, D = lppls_model.fit(MAX_SEARCHES)

visualize the fit
lppls_model.plot_fit()
"

with kind regards,
Peter

[DariusTaheri]

This error gets raised when you do not instantiate an object of a class before calling a class method. Try running the cell with:

MAX_SEARCHES = 25

before

tc, m, w, a, b, c, c1, c2, O, D = lppls_model.fit(MAX_SEARCHES)