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Tutorials
Examples
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About
News
System Settings
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GitHub
PyPI
cpm-toolbox.net
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cpm.generators
Parameters
Value
LogParameters
Wrapper
SessionWrapper
Simulator
cpm.models
DeltaRule
SeparableRule
QLearningRule
HumbleTeacher
SARSATrace
Softmax
Sigmoid
GreedyRule
ChoiceKernel
SigmoidActivation
CompetitiveGating
ProspectUtility
Offset
RapidAttentionShift
Nominal
softmax
log_softmax
p_second
logistic
irreducible_noise
softmax_noise
sigmoid
greedy
choice_kernel
choose
delta_rule
separable_rule
q_learning
humble_teacher_change
humble_teacher
sarsa_trace
sarsa_trace_update
sigmoid_activation
gating_gain
gate
competitive_gating
prospect_utility
prospect_weight
weight_tk
weight_power
weight_prelec
weight_gw
expected_utility
add_offset
offset
rapid_attention_shift
cpm.optimisation
FminBound
Fmin
Minimize
DifferentialEvolution
Bads
LogLikelihood
Distance
Discrete
CrossEntropy
PenalisedLikelihoods
cpm.hierarchical
EmpiricalBayes
VariationalBayes
cpm.applications
RLRW
HybridMBMF
PTSM
PTSM1992
PTSM2025
EstimatorMetaD
fit_metad
metad_nll
cpm.brainexplorer
MilkyWay
TreasureHunt
SpaceObserver
Scavenger
cpm.datasets
load_bandit_data
load_two_step_data
load_model_based_model_free
load_blocking_data
load_risky_choices
load_metacognition_data
load_csv
cpm.utils
convert_to_RLRW
convert_to_PTSM
combine_lists
count_trials
bin_ratings
API reference
cpm.models
logistic
logistic
#
logistic
(
x
)
[source]
#
The logistic function, 1 / (1 + exp(-x)), without overflow.
On this page
logistic()
