def test_learning_tracker_graph_context_manager_xxxc_handle():
lt = LearningTracker(epoch=datetime.now())
moments = lt.range_for(curve=1, stop=43, day_step_size=0.5)
predictions = [lt.recollect_scalar(moment, curve=1) for moment in moments]
with lt.graphs(stop=43,
filename='results/lt_content_xxxc_handle.pdf',
control_handle=True) as ch:
ch.plot(moments, predictions, color='xkcd:azure')
def test_learning_tracker_graph_context_manager_rfec_handle():
lt = LearningTracker(epoch=datetime.now())
moments = lt.range_for(curve=1, stop=43, day_step_size=0.5)
predictions = [lt.recollect_scalar(moment, curve=1) for moment in moments]
with lt.graphs(stop=43,
filename='results/lt_content_rfec_handle.pdf',
control_handle=True,
reference_handle=True,
feedback_handle=True,
error_handle=True) as (rh, fh, eh, ch):
rh.plot(moments, predictions, color='xkcd:azure')
fh.plot(moments, predictions, color='xkcd:azure')
eh.plot(moments, predictions, color='xkcd:red')
ch.plot(moments, predictions, color='xkcd:azure')
def test_learning_tracker_broken_two_handle_graph():
lt = LearningTracker(epoch=datetime.now())
# give our learning tracker some feedback
for d, r in zip(
[0, 0.8, 1.75, 3.02, 4.8, 7.33],
[0.40, 0.44, 0.64, 0.76, 0.83, 0.89],
):
lt.learned(result=r, when=d)
with lt.graphs(stop=43,
show=True,
control_handle=True,
reference_handle=True,
filename='results/context_manager_two_handles.svg') as (rh,
ch):
r_m = lt.reference.range_for(curve=3, stop=43, day_step_size=0.5)
r_p = [lt.reference.predict_result(moment, curve=3) for moment in r_m]
rh.plot(r_m, r_p, color='xkcd:ruby')
c_m = lt.range_for(curve=1, stop=43, day_step_size=0.5)
c_p = [lt.predict_result(moment, curve=1) for moment in c_m]
ch.plot(c_m, c_p, color='xkcd:azure')
def test_learning_tracker_graph_context_manager_xxxx_handle():
lt = LearningTracker(epoch=datetime.now())
with lt.graphs(stop=43, filename='results/lt_content_xxxx_handle.pdf'):
pass