🐛 Bug

When installing in a fresh venv, version from pip does not support transformers_params argument in lightautoml.addons.autots.base.AutoTS

To Reproduce

Steps to reproduce the behavior:

get python Python 3.8.10 (v3.8.10:3d8993a744, May 3 2021, 08:55:58)
install lightautoml==0.3.7.3
```
pip install lightautoml
```
get code from master/examples/demo13.py
try to run
```
import numpy as np
import pandas as pd
```

from sklearn.metrics import mean_absolute_error

from lightautoml.addons.autots.base import AutoTS from lightautoml.tasks import Task

np.random.seed(42)

data = pd.read_csv("data/ai92_value_77.csv") horizon = 30

train = data[:-horizon] test = data[-horizon:]

roles = {"target": "value", "datetime": "date"}

seq_params = { "seq0": { "case": "next_values", "params": {"n_target": horizon, "history": np.maximum(7, horizon), "step": 1, "test_last": True}, }, }

True (then set default values) / False; int, list or np.array

default: lag_features=30, diff_features=7

transformers_params = { "lag_features": [0, 1, 2, 3, 5, 10], "lag_time_features": [0, 1, 2], "diff_features": [0, 1, 3, 4], }

task = Task("multi:reg", greater_is_better=False, metric="mae", loss="mae")

automl = AutoTS( task, seq_params=seq_params, trend_params={ "trend": False, }, transformers_params=transformers_params, ) trainpred, = automl.fitpredict(train, roles, verbose=4) forecast, = automl.predict(train)

print("Check scores...") print("TEST score: {}".format(mean_absolute_error(test[roles["target"]].values, forecast.data)))

5. get error:

```bash
multi:reg isn`t supported in lgb
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[4], line 20
     12 transformers_params = {
     13     "lag_features": [0, 1, 2, 3, 5, 10],
     14     "lag_time_features": [0, 1, 2],
     15     "diff_features": [0, 1, 3, 4],
     16 }
     18 task = Task("multi:reg", greater_is_better=False, metric="mae", loss="mae")
---> 20 automl = AutoTS(
     21     task,
     22     seq_params=seq_params,
     23     trend_params={
     24         "trend": False,
     25     },
     26     transformers_params=transformers_params,
     27 )
     28 train_pred, _ = automl.fit_predict(train, roles, verbose=4)
     29 forecast, _ = automl.predict(train)

TypeError: __init__() got an unexpected keyword argument 'transformers_params'

Expected behavior

code runs
get TEST score print at the end

Additional context

Running with jupyter notebook
OS: macOS Ventura 13.2

sb-ai-lab / LightAutoML

Issue with AutoTS, no parameter "transformers_params" #83