JeffyPlayground
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Pretrained Classifiers

16 classifiers ready to use. Click a model to try it.

doom_fireLive Demo
Real-time Doom gameplay classifier (24 game-state features)
3 classes24 featuresuser-provided
inbox_routerLive Demo
Train and classify emails into Work, Family, Promo, Notifications
4 classestextMIT
poker_decisionLive Demo
4 AI players play Texas Hold’em using game-state classifiers
4 classes18 featuresMIT
sms_spam99.1%
SMS spam detection
2 classestextCC BY 4.0
dbpedia96.0%
Wikipedia article ontology classification
14 classestextCC BY-SA 3.0
imdb94.8%
Movie review sentiment (positive/negative)
2 classestextAcademic / non-commercial
banking7794.3%
Banking customer service intent detection
77 classestextCC BY 4.0
ag_news90.6%
News article topic classification
4 classestextAcademic / non-commercial
sst290.1%
Movie review sentiment (positive/negative)
2 classestextStanford academic license
clinc_oos88.4%
Intent detection with out-of-scope
151 classestextCC BY 3.0
massive_intent88.1%
Amazon MASSIVE voice command intents
60 classestextCC BY 4.0
tweet_eval_offensive81.0%
Offensive language detection
2 classestextTwitter TOS / academic
tweet_eval_emotion78.1%
Tweet emotion detection
4 classestextTwitter TOS / academic
emotion75.5%
Text emotion detection
6 classestextAcademic
tweet_eval_sentiment66.2%
Tweet sentiment analysis
3 classestextTwitter TOS / academic
snli65.6%
Natural language inference
3 classestextCC BY-SA 4.0
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doom_fire
Real-time Doom gameplay classifier. Extracts 24 game-state features and decides: FIRE, TURN LEFT, or TURN RIGHT. Logistic regression, no neural network, no GPU.
3Classes
24Features
<1msLatency
CPURuntime
Doom frame
HOLD
100HP
26Ammo
0Kills
0Enemies
1Episode

Decision Log

    Classifier Decision

    — —

    Stats

    Classify latency—
    Total kills0
    Step0
    FPS—

    How it works

    Jeffy extracts 24 game-state features (enemy positions, health, ammo, action history) and runs them through a logistic regression classifier to decide: FIRE, TURN LEFT, or TURN RIGHT. No neural network, no GPU.
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    Inbox Classifier Demo
    Train an inbox router from 24 labeled examples, then watch it classify new messages in real time. CPU only, no API keys.
    4Classes
    24Train examples
    ~50msLatency
    CPURuntime

    Training Data

    24 labeled examples
    terminal
    pip install jeffy-classify

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    Usage

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    Poker AI Demo
    Four AI players play Texas Hold'em. Each decision is a Jeffy classifier running on 18 game-state features. No neural network, no GPU.
    4Players
    4Actions
    18Features
    <1msClassify
    0pot
    Alice 1000
    Bob 1000
    Carol 1000
    Dave 1000
    preflop Hand #1

    Current Hand

    Hand History

    How it works

    Each player is a logistic regression classifier trained on 21K simulated poker decisions. Features include hand strength, pot odds, position, stack ratios, and betting patterns. The classifier outputs: FOLD, CHECK, CALL, or RAISE.